Azure Sentinel
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This query visualises total emails with Phish (BEC) Impersonation detections by Detection Technology over time
Visualises malicious URL clicks that were allowed through Safe Links over time, helping analysts identify when users bypass security controls and click on malicious content.
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
Visualises the top 10 users with click attempts on URLs in emails detected as malware, helping analysts identify risky user behaviour and potential targets.
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
This query visualises total emails with Spoof-DMARC fails detections summarizing the data by the top email sender P2 domain (SenderFromDomain) and sender P1 domain (SenderMailFromDomain).
This query visualises total emails with Phish-Spoof-external domain detections summarizing the data by the top 10 email sender P2 domain (SenderFromDomain) and sender P1 domain (SenderMailFromDomain).
This query visualises emails submitted as false negatives by users where emails were already detected by MDO but there was a policy override.
'This rule identifies a web request with a user agent header known to belong PowerShell. <br>You can add custom Powershell indicating User-Agent headers using a watchlist, for more information refer to the [UnusualUserAgents Watchlist](https://aka.ms/ASimUnusualUserAgentsWatchlist).<br><br>
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM WebSession schema (ASIM WebSession Schema)'
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM WebSession schema (ASIM WebSession Schema)'
Identifies the top 10 external sender addresses delivering inbound emails classified as malware.
If you want to exclude your own organization's domains (including subdomains), add a filter after the malware filter, e.g.:
| where SenderFromAddress !contains ".yourdomain.com"
(Replace "yourdomain.com" with your actual domain.)
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
If you want to exclude your own organization's domains (including subdomains), add a filter after the malware filter, e.g.:
| where SenderFromAddress !contains ".yourdomain.com"
(Replace "yourdomain.com" with your actual domain.)
Based on Defender for Office 365 workbook: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
This query visualises top sender domains of inbound emails submitted as false negatives by users.
This query visualises total emails Business Email Compromise (BEC) Spoofing detections over time summarizing the data daily.
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