Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a when net.exe is called with a password in the command line
Detects a process spawned by the terminal service server process (this could be an indicator for an exploitation of CVE-2019-0708)
Detects a suspicious child process of a Microsoft HTML Help (HH.exe)
'This query will dynamically identify Exchange servers using common web paths used by the application in the csUriStem. The query
will then collect MDE alerts from the SecurityAlert table using the identified Exchange Server hostnames.'
will then collect MDE alerts from the SecurityAlert table using the identified Exchange Server hostnames.'
Detects exploitation of LNK file command-line length discrepancy, where attackers hide malicious commands beyond the 260-character UI limit while the actual command-line argument field supports 4096 characters using whitespace padding (e.g., 0x20, 0x09-0x0D).
Adversaries insert non-printable whitespace characters (e.g., Line Feed \x0A, Carriage Return \x0D) to pad the visible section of the LNK file, pushing malicious commands past the UI-visible boundary.
The hidden payload, executed at runtime but invisible in Windows Explorer properties, enables stealthy execution and evasion—commonly used for social engineering attacks.
This rule flags suspicious use of such padding observed in real-world attacks.
Adversaries insert non-printable whitespace characters (e.g., Line Feed \x0A, Carriage Return \x0D) to pad the visible section of the LNK file, pushing malicious commands past the UI-visible boundary.
The hidden payload, executed at runtime but invisible in Windows Explorer properties, enables stealthy execution and evasion—commonly used for social engineering attacks.
This rule flags suspicious use of such padding observed in real-world attacks.
MFA Spamming
KQL
'Identifies list of user impacted by MFA Spamming within a given time window,Default Failure count is 10 with default Time Window is 5 minutes'
'This hunting query will identify instances where a single user account has seen a high incidence of failed attempts from highly volatile IP addresses
Changing IP address for every password attempt is becoming a more common technique amongst sophisticated threat groups. Often threat groups will randomise
the user agent they are using as well as IP address. This technique has been enabled by the emergence of services providing huge numbers of residential IP
addresses. These services are often enabled through malicious browser plugins. This query is best executed over longer timeframes.
Reduce the timeRange if you have too much data. Results with the highest "IPs", "Failures" and "DaysWithAttempts" are good candidates for further
investigation. This query intentionally does not cluster on UserAgent, IP etc. This query is clustering on the highly volatile IP behaviour.'
Changing IP address for every password attempt is becoming a more common technique amongst sophisticated threat groups. Often threat groups will randomise
the user agent they are using as well as IP address. This technique has been enabled by the emergence of services providing huge numbers of residential IP
addresses. These services are often enabled through malicious browser plugins. This query is best executed over longer timeframes.
Reduce the timeRange if you have too much data. Results with the highest "IPs", "Failures" and "DaysWithAttempts" are good candidates for further
investigation. This query intentionally does not cluster on UserAgent, IP etc. This query is clustering on the highly volatile IP behaviour.'
Detects an unexpected file being deleted by dns.exe which my indicate activity related to remote code execution or other forms of exploitation as seen in CVE-2020-1350 (SigRed)
Detects suspicious file type dropped by an Exchange component in IIS
'Detects a URL being added to an application where the domain is not one that is associated with the tenant.
The query uses domains seen in sign in logs to determine if the domain is associated with the tenant.
Applications associated with URLs not controlled by the organization can pose a security risk.
Ref: https://learn.microsoft.com/en-gb/entra/architecture/security-operations-applications#application-configuration-changes'
The query uses domains seen in sign in logs to determine if the domain is associated with the tenant.
Applications associated with URLs not controlled by the organization can pose a security risk.
Ref: https://learn.microsoft.com/en-gb/entra/architecture/security-operations-applications#application-configuration-changes'
'Identifies when a user account was created and then added to the builtin Administrators group in the same day.
This should be monitored closely and all additions reviewed.'
This should be monitored closely and all additions reviewed.'
'This query dynamically identifies Exchange servers and then looks for instances where the IIS worker process initiates a call out to a remote URL using either cmd.exe or powershell.exe.
This behaviour was described as post-compromise behaviour following exploitation of CVE-2022-41040 and CVE-2022-41082, this pattern of activity was use to download additional tools to the server. This suspicious activity is generic.'
This behaviour was described as post-compromise behaviour following exploitation of CVE-2022-41040 and CVE-2022-41082, this pattern of activity was use to download additional tools to the server. This suspicious activity is generic.'
This query provides insights into AIR investigation actions in Microsoft Defender for Office 365.
This query visualises total emails with Malware detections over time summarizing the data daily by Delivery Location.
This query helps to find threats using display name impersonation for users not already protected with User Impersonation
'Identifies where Privileged Accounts have updated passwords or security information. This is joined with UEBA alerts to filter to only those accounts with a high investigation priority.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
'Identifies privileged accounts that have been locked out. Verify these lockout are due to legitimate user activity and not due to threat actors attempting to access the accounts.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
'Identifies anomolies in signin events based on the volume of signin events over time. Use this to identify suspicious authentication patterns such as spikes in activity or out of hours events.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
'Identifies spikes in failed sign-in events based on the volume of failed sign-in events over time. Use to identify patterns of suspicious behavior such as unusually high failed sign-in attempts from certain users.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts'
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts'
'Detects request to potentially harmful file types (.ps1, .bat, .vbs, etc.).'
'Detects when a Guest User is added by a user account that has not been seen adding a guest in the previous 14 days.
Monitoring guest accounts and the access they are provided is important to detect potential account abuse.
Accounts added should be investigated to ensure the activity was legitimate.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-failed-unusual-sign-ins'
Monitoring guest accounts and the access they are provided is important to detect potential account abuse.
Accounts added should be investigated to ensure the activity was legitimate.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-failed-unusual-sign-ins'
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