Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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KQL Query
KQL Query from file: Hunt for High Volume Phish ISP
KQL Query from file: DefenderXDR Weekly OSINT Indicators Scan 24022025
KQL Query from file: Outlook New Requirements for High‐Volume Senders
KQL Query from file: DefenderXDR Weekly OSINT Indicators Scan 19052025
This query helps in reviewing malicious emails allowed due to user overrides
KQL Query
KQL Query from file: Hunting VEILDrive C2
Identifies the top 10 external sender addresses delivering inbound emails classified as spam.
If you want to exclude your own organization's domains (including subdomains), add a filter after the spam 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 spam 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
KQL Query
KQL Query
KQL Query
This query visualises total emails with Phish (BEC) Spoof detections by Detection Technology
This query visualises total emails with Phish-Spoof-internal domain detections summarizing the data by the top 10 email sender P2 domain (SenderFromDomain) and sender P1 domain (SenderMailFromDomain).
This query visualises top outbound recipient domains by outbound email volume and shows total number of inbound emails with Threats from the same domains (as inbound senders)
This query visualises total emails with Phish (BEC) Impersonation detections by Detection Technology over time
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
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
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.
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