Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects individual access events to sensitive Microsoft Graph control-plane endpoints, including directory roles, role management, authentication methods, applications, service principals, and OAuth permissions. This rule is designed to be paired with a broader correlation rule to identify potential reconnaissance or persistence activities involving high-privilege configuration changes.
This rule detects cloud file access (Download, Accessed, or Sync) originating from a Python-based user-agent (python-httpx) associated with specific Microsoft 365 applications, flagged by either an uncommon ISP or an uncommon user-agent for that specific user. This behavior is indicative of potential automated data collection or exfiltration attempts using programmatic access against cloud storage services.
This rule detects a correlation between an incoming email, SMS, or message containing phishing lure keywords related to 'passkey' or 'SSO' and 'update' requests, followed by a successful or attempted user sign-in from that recipient within a 2-hour window. This behavior is indicative of a social engineering campaign aimed at credential or token theft.
This rule detects suspicious cloud user activity by identifying a single user account engaging in diverse, multi-stage actions (Authentication, MFA updates, Reconnaissance, and Exfiltration) originating from a high number of distinct source IP addresses. This behavioral pattern is indicative of a compromised account where an adversary is rotating IPs while performing a coordinated, multi-stage attack sequence.
Detects anomalous activity in Microsoft Graph API logs where a single identity (user or application) performs a high volume of requests across multiple sensitive administrative categories, such as directory role management, authentication method modification, application or service principal changes, and OAuth consent operations. This pattern is indicative of potential unauthorized reconnaissance, privilege escalation, or persistence attempts within an Azure/Microsoft 365 environment.
Detects cloud data access or file download operations in Microsoft 365 (SharePoint, OneDrive, Exchange) performed by a user agent string associated with the python-httpx library. This pattern is often indicative of automated data exfiltration using custom scripts.
Detects multiple authentication failures in Azure AD (specifically error codes 50074: strong authentication required/MFA failure and 50140: interruption of MFA completion) originating from devices identified as either unmanaged or non-compliant. This pattern often indicates an adversary attempting to brute force or bypass conditional access policies by leveraging credentials where the device security posture is insufficient.
Detects sign-in activity to the 'Office Home' portal from an unmanaged, non-compliant device, followed by authentication to sensitive cloud services like SharePoint Online, OneDrive, or Microsoft Graph. This pattern often indicates a potential session hijacking or post-compromise activity where an attacker uses an unmanaged device to access enterprise data via cloud application discovery.
This rule detects anomalous, high-volume file and email access events by a single user from a single IP address within the Microsoft 365 environment. The detection logic groups operations such as file downloads, file access, and mailbox item access, flagging instances where a user performs 100 or more such operations, which may indicate data exfiltration or compromised account activity.
Detects multiple failed multifactor authentication (MFA) attempts from the same user on an unmanaged device. This behavior is indicative of an adversary attempting to bypass MFA or perform MFA fatigue attacks using stolen credentials.
This rule detects potential adversary-in-the-middle (AiTM) or device-code authentication attacks where a user reports suspicious vishing (voice phishing) or SMS lures involving passkeys or SSO updates. The rule correlates user-reported social engineering pretexts with evidence of risky authentication flows, such as device code usage or specific authentication error codes associated with interception.
This rule detects high-volume email bursts sent through third-party bulk email providers where the sender domain exhibits SPF, DKIM, or DMARC alignment failures. This behavior is indicative of mass phishing campaigns, such as those associated with 'Operation DoppelBrand', attempting to bypass email authentication defenses using compromised or unauthorized infrastructure.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects bulk file deletion activities (three or more files deleted or moved to the recycle bin) within SharePoint or OneDrive by a specific user within a 30-minute window, which may indicate malicious activity or data destruction.
Detects inbound emails impersonating IT support or helpdesk staff that utilize urgent pretexts related to passkey, MFA, or SSO updates. These lures are commonly used in phishing campaigns to direct users toward malicious authentication flows, such as AiTM or device-code phishing setups.
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
Detects a single user account sending an unusually high volume of Microsoft Teams messages containing themes related to passkey, SSO enrollment, or security updates. This behavior is indicative of a compromised internal account being leveraged to propagate social engineering lures to other employees.
Detects a suspicious sign-in sequence indicative of an Adversary-in-the-Middle (AiTM) phishing attack. The rule identifies a user attempting to sign in from an unmanaged device (triggered by Azure AD error 50074, requiring secondary authentication) followed shortly by an interruption in session persistence (triggered by error 50140) while using a browser user agent, suggesting the session is being relayed through a malicious proxy.
Detects anomalous, high-frequency access to multiple distinct Microsoft Graph API endpoints (e.g., users, groups, applications) by a single user within a short timeframe, which is indicative of tenant-wide reconnaissance following identity compromise.
Detects anomalous, systematic enumeration of multiple Microsoft Graph API resource categories (e.g., users, groups, applications, sites) by a single identity, IP, or application within a short time window. This activity often indicates an adversary performing discovery or reconnaissance against the M365 tenant environment.
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