Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where an administrator has granted tenant-wide consent to an OAuth application requesting highly privileged Microsoft Graph permissions. This activity is a significant indicator of potential persistence or privilege escalation, as it allows the application to perform sensitive operations across the organization without requiring individual user interaction.
Detects instances where an Entra ID (Azure AD) application is registered and subsequently granted consent by the same user within 30 minutes, specifically when the activity occurs outside of typical business hours (7 AM - 7 PM) or from disparate IP addresses. This behavior pattern is indicative of potential malicious OAuth application registration and subsequent token-granting by an attacker to maintain persistent access to an environment.
Detects the addition of a new client secret or certificate to an existing Microsoft Entra ID (formerly Azure AD) application or service principal. This behavior is often used by adversaries to establish persistence following the compromise of an existing identity with administrative permissions, allowing continued access even if the original compromised credentials are revoked.
Detects the addition of secrets or certificates to service principals by identities that are not currently registered as owners of those applications, or modifications occurring outside of standard business hours. This behavior is often indicative of an adversary with compromised administrative privileges (e.g., Application Administrator) attempting to establish persistent, lateral access without alerting legitimate application owners.
Detects a potential Business Email Compromise (BEC) persistence chain where a user grants an OAuth application mail-read or mail-write permissions, followed by the creation of a malicious inbox rule designed to forward, move, or delete sensitive email threads. This combination enables persistent exfiltration and stealth, bypassing password resets as the OAuth token remains active.
This rule detects non-interactive sign-in events using AzureAD tokens from unmanaged devices. This pattern is indicative of potential session or refresh token hijacking, where an adversary replays a stolen session token from their own environment. While a single event is not definitive for impossible travel, it serves as a high-confidence seed for identifying compromised sessions when combined with other indicators.
Detects instances where a user grants consent to an Azure AD application with highly sensitive permissions (such as ReadWrite access to Directory, Roles, or Applications). This pattern is commonly used in OAuth consent phishing attacks to maintain persistence or escalate privileges by authorizing a malicious application to act on behalf of the user or the entire directory.
Detects OAuth application consent events in Azure Active Directory where the application is from an unverified publisher, requests high-risk scopes (specifically offline_access plus at least two others like Mail, Files, Contacts, or Directory), and potentially indicates a mass-campaign if multiple users consent to the same application.
Detects instances where a user grants an OAuth application consent to high-risk scopes (such as mail reading, file access, or directory reading) without administrator oversight. This behavior is a common indicator of OAuth abuse where an attacker lures a user into granting excessive permissions to a malicious application, providing the attacker persistent access to the user's data.
Detects OAuth application consent grants where the application requests both 'offline_access' (enabling refresh tokens for long-term access) and sensitive mailbox permission scopes (such as Mail.Read, Mail.ReadWrite, Mail.Send, or IMAP.AccessAsUser.All). This combination is indicative of consent phishing attacks designed to establish persistent, silent access to user email accounts, bypassing password resets and multi-factor authentication.
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 mass-phishing consent campaigns by monitoring non-admin users consenting to multi-tenant or unverified-publisher applications requesting non-basic-profile OAuth scopes. The rule aggregates multiple consent events for the same application over a 1-hour window to identify potentially malicious consent-phishing activity.
Detects modifications to Microsoft Entra ID (formerly Azure AD) cross-tenant access settings. This rule alerts on changes that allow external tenants to interact with the environment, such as enabling inbound/outbound trusts, automatic redemption, or trusting MFA claims, which can be leveraged to establish persistence or facilitate lateral movement between tenants.
Detects mass-phishing consent campaigns by monitoring non-admin users consenting to multi-tenant or unverified-publisher applications requesting non-basic-profile OAuth scopes. The rule aggregates multiple consent events for the same application over a 1-hour window to identify potentially malicious consent-phishing activity.
Detects modifications to Microsoft Entra ID (formerly Azure AD) cross-tenant access settings. This rule alerts on changes that allow external tenants to interact with the environment, such as enabling inbound/outbound trusts, automatic redemption, or trusting MFA claims, which can be leveraged to establish persistence or facilitate lateral movement between tenants.
Detects modifications to Microsoft Entra ID (formerly Azure AD) cross-tenant access settings. This rule alerts on changes that allow external tenants to interact with the environment, such as enabling inbound/outbound trusts, automatic redemption, or trusting MFA claims, which can be leveraged to establish persistence or facilitate lateral movement between tenants.
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 mass-phishing consent campaigns by monitoring non-admin users consenting to multi-tenant or unverified-publisher applications requesting non-basic-profile OAuth scopes. The rule aggregates multiple consent events for the same application over a 1-hour window to identify potentially malicious consent-phishing activity.
Detects modifications to Microsoft Entra ID (formerly Azure AD) cross-tenant access settings. This rule alerts on changes that allow external tenants to interact with the environment, such as enabling inbound/outbound trusts, automatic redemption, or trusting MFA claims, which can be leveraged to establish persistence or facilitate lateral movement between tenants.
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 mass-phishing consent campaigns by monitoring non-admin users consenting to multi-tenant or unverified-publisher applications requesting non-basic-profile OAuth scopes. The rule aggregates multiple consent events for the same application over a 1-hour window to identify potentially malicious consent-phishing activity.
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