Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects OAuth2 permission consent events where a user grants a third-party or newly registered application access to high-risk scopes (such as Mail, Files, or Directory). This technique is commonly used to establish persistence and bypass MFA by gaining access to user accounts via malicious or compromised OAuth applications.
Detects modifications to Microsoft Entra ID (formerly Azure AD) Conditional Access policies that lower security posture. This includes disabling policies, switching them to report-only mode, removing Multi-Factor Authentication (MFA) or grant control requirements, or expanding exclusion lists to exempt users, groups, or locations from security controls. Such modifications are often indicative of an adversary attempting to maintain persistent access or bypass MFA requirements.
This rule detects the reuse of the same user's refresh token from two different countries within a 15-minute window. This behavior is a strong indicator of token theft or session hijacking, commonly associated with AiTM phishing, infostealer malware, or session cookie extraction, where an adversary uses stolen credentials from a remote location.
Detects OAuth2 permission consent events where a user grants a third-party or newly registered application access to high-risk scopes (such as Mail, Files, or Directory). This technique is commonly used to establish persistence and bypass MFA by gaining access to user accounts via malicious or compromised OAuth applications.
Detects high-risk activities related to SAML token-signing certificates, including certificate export from Active Directory Federation Services (AD FS) or Active Directory Certificate Services (AD CS) and unauthorized configuration changes to enterprise application certificate management. These activities are potential precursors to Golden SAML attacks, where an adversary attempts to forge authentication tokens.
Detects the addition of suspicious redirect URIs, such as those containing wildcards, non-HTTPS protocols, or known URL-shortening services, to an OAuth application registration. Such configurations can be exploited by attackers to perform OAuth authorization code or token interception (e.g., through adversary-controlled endpoints).
This rule detects administrative changes that weaken cloud identity security, specifically the disabling of Entra ID Security Defaults, per-user MFA enforcement, or tenant-wide authentication-methods policies. These actions remove critical second-factor authentication requirements, significantly increasing the risk of unauthorized access via password-spraying or credential-stuffing attacks.
Detects modifications to application secrets or certificates in Azure that are performed by a user who is not the registered owner of the application, or when a new credential is added to an application that already has credentials configured, potentially indicating persistent access establishment.
Detects modifications or deletions of Azure AD Conditional Access policies that weaken security, such as disabling policies, removing MFA requirements, or adding user/group/application exclusions. This behavior can be indicative of an attacker attempting to bypass authentication controls.
Detects the assignment of high-privilege directory roles (e.g., Global Administrator) to a user account, where the initiator's sign-in session is identified as anomalous. Anomalous indicators include non-interactive sign-in, unknown/untrusted device state, elevated risk score, or activity occurring outside of configured business hours.
Detects the assignment of high-privilege directory roles (e.g., Global Administrator) to a user account, where the initiator's sign-in session is identified as anomalous. Anomalous indicators include non-interactive sign-in, unknown/untrusted device state, elevated risk score, or activity occurring outside of configured business hours.
This rule correlates events across the end-to-end kill chain of an enterprise intrusion, specifically tracking the progression from initial endpoint-based infostealer activity (credential access), through anomalous or non-interactive sign-in activity, into privilege escalation or mailbox delegation within the cloud environment, and finally to mass data exfiltration or mail access. It detects accounts involved in at least three distinct stages of this progression within a 72-hour window.
Detects usage of legacy and inherently less secure authentication protocols (such as IMAP, POP3, SMTP, or Basic Authentication) within Microsoft Entra ID (Azure AD) sign-in activity. These protocols often bypass modern multi-factor authentication (MFA) requirements and are commonly exploited in credential stuffing and password spraying attacks.
Detects instances where a user account that has been flagged as risky (e.g., unfamiliar features, impossible travel, or malicious IP activity) performs a modification or registration of multi-factor authentication (MFA) security information within a short timeframe (30 minutes). This behavior is highly indicative of an adversary attempting to establish persistence or bypass authentication controls after a credential compromise.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
This rule correlates a risky or compromised sign-in event in Entra ID (Azure AD) with a subsequent OAuth consent grant by the same user within 60 minutes. It specifically looks for grants that request sensitive permissions such as Mail.Read, Mail.ReadWrite, Files.ReadWrite.All, or offline_access, which are commonly associated with consent phishing and persistence tactics.
This rule detects scenarios where an existing SSO or Identity Provider (IdP) session is reused from a device context that differs from the one that originally performed MFA. It identifies this by joining authentication events by SessionId, specifically looking for instances where MFA occurred in one event and a subsequent non-MFA event for the same session has a different User-Agent, DeviceId, JA3 hash, or Operating System build, indicating potential session token theft or reuse.
This rule detects the installation or execution of common Remote Monitoring and Management (RMM) tools (e.g., AnyDesk, ScreenConnect, Atera, Splashtop, TeamViewer) on Windows endpoints within a 4-hour window of associated cloud identity risk activity (such as risky sign-ins, MFA changes, or privilege grants). It filters out legitimate activity initiated via standard software management pipelines (e.g., SCCM, Intune) to identify potential unauthorized use of remote access software by adversaries following account compromise.
Detects instances where a user account identified as high or medium risk, or marked as 'at risk' by Azure AD Identity Protection, performs an OAuth application consent action within one hour of the risky sign-in event. This correlation targets potential illicit application consent attacks where a compromised account is used to grant permissions to a malicious application.
This rule correlates endpoint-based alerts related to credential theft or infostealer malware with subsequent successful cloud identity authentication events. It identifies situations where a user, who has recently triggered a credential theft alert on an endpoint, logs into a cloud environment from a country or IP address that has not been historically associated with that user within a 24-hour window.
Detects non-interactive sign-in events where a refresh token is used to authenticate without satisfying a multi-factor authentication (MFA) requirement. This pattern is indicative of potential token theft and replay attacks, where an adversary uses a stolen refresh token to maintain persistence or access resources without triggering the expected MFA prompt.
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