Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,141 detections
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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.
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.
This query visualises total emails with Spoof - SPF fails summarizing the data daily.
This query visualises emails submitted as false negatives by users where emails were already detected by MDO but there was an admin definded policy override
This query visualises user submissions type compared to admin review verdict
Visualises the top 10 users with click attempts on URLs in emails detected as spam, 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 Phish (BEC) Impersonation detections by Detection Technology
Visualises emails containing QR code URLs that have been detected as malicious, helping analysts identify QR code-based attack campaigns.
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 the total ammount of user false negative submission by submission type, including the phish simulations reported emails
This query visualises the daily ammount of users false negative submission by submission type, including phish simulations reported by users.
This query visualises total emails with Phish (BEC) Spoof detections by Detection Technology over time
Summarizes URL click events by action type to help analysts understand user click behavior and policy effectiveness.
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 phishing, 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 the total amount of click attempts on URLs with detections, split by the different threat types identified.
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 summarizing the data daily.
This query visualises top sender email addresses of intra-org emails submitted as false negatives by users.
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