Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous access to the SharePoint WebPartPages.asmx SOAP endpoint, specifically using the GetWebPartPageConnectionInfo method. This query identifies patterns consistent with the exploitation of CVE-2026-65660, where adversaries attempt to smuggle WebPart template markup (e.g., <%@ Register, XamlServices) after legitimate preview methods have been disabled.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects high-risk GitHub events indicating data or asset exposure, such as creating public repositories with specific naming conventions, changing private repositories to public, or creating new gists, which could indicate exfiltration of sensitive assets or information.
Detects the creation or exposure of public repositories, releases, or gists under a personal GitHub account that utilize naming conventions associated with the 'PixelLeak' workaround. This technique allows adversaries to make previously private screenshots, recordings, or internal assets publicly accessible by hosting them in public personal repositories or releases.
Detects the creation of application-specific passwords named 'ZimbraWeb' in Zimbra environments. This pattern is associated with potential persistence mechanisms or credential access attempts where an adversary creates a dedicated service or app password to maintain access, as identified in CVE-2025-66376.
Detects Azure AD / M365 audit log events associated with OAuth2 permission grants or application consent
where a high-privilege delegated scope (e.g. Mail.Read, Mail.ReadWrite, Directory.ReadWrite.All, offline_access)
is granted to an application. This technique has been publicly attributed to APT29 (Cozy Bear / Midnight Blizzard)
for maintaining persistent access to M365 mailboxes and directory data via malicious or unverified OAuth
applications, consistent with MITRE ATT&CK T1098.001 (Additional Cloud Credentials) and T1550.001 (Use Alternate
Authentication Material: Application Access Token).
where a high-privilege delegated scope (e.g. Mail.Read, Mail.ReadWrite, Directory.ReadWrite.All, offline_access)
is granted to an application. This technique has been publicly attributed to APT29 (Cozy Bear / Midnight Blizzard)
for maintaining persistent access to M365 mailboxes and directory data via malicious or unverified OAuth
applications, consistent with MITRE ATT&CK T1098.001 (Additional Cloud Credentials) and T1550.001 (Use Alternate
Authentication Material: Application Access Token).
Detects a suspected Multi-Factor Authentication (MFA) fatigue attack, characterized by a user denying three or more consecutive MFA authentication requests in a short period (10 minutes) followed by a successful authentication approval. This behavior often indicates an adversary bombarding a user with push notifications to eventually solicit an accidental or coerced approval.
Detects recurring Microsoft Graph mailbox activity featuring 'command_req_' or 'command_res_' substrings within message subjects or filter queries. This pattern is indicative of attackers using email-based infrastructure for Command and Control (C2) communication, characterized by periodic polling of mailbox items.
Detects anomalous, high-volume file download or export activity originating from a single identity across multiple downstream cloud applications or tenants within a one-hour window. This behavior is indicative of a compromised shared service provider, MSP, or clearinghouse account being leveraged to exfiltrate data from multiple client environments simultaneously. The detection excludes pre-approved service accounts and relies on a dynamic baseline comparison rather than a static threshold.
The following analytic identifies when an O365 email recipient receives and then deletes emails for the combination of both password and banking/payroll changes within a short period.
This behavior may indicate a compromised account where the threat actor is attempting to redirect the victims payroll to an attacker controlled bank account.
This behavior may indicate a compromised account where the threat actor is attempting to redirect the victims payroll to an attacker controlled bank account.
Detects unauthorized attempts to delete or purge critical Salesforce audit logs, including the Setup Audit Trail, Login History, and Event Monitoring log files. This behavior is indicative of anti-forensic activity, often utilized by threat actors such as ShinyHunters to destroy audit evidence following unauthorized access, data export, or credential manipulation.
Detects anomalous use of an AI agent session or OAuth token from multiple distinct IP addresses, hostnames, or user-agents within a short 10-minute window. This behavior is highly indicative of token theft and replay, where an adversary attempts to use a compromised session token from a different location or environment.
This rule identifies potential prompt injection attempts against Microsoft Copilot and Azure OpenAI services by monitoring CloudAppEvents for specific adversarial markers, encoded instruction blocks, or hidden text patterns. It flags recurring attempts from a single user as suspicious probing activity.
Detects successful OAuth device code sign-in attempts where the geographic location of the authentication does not match the user's historical baseline location. This is indicative of OAuth device code phishing, where a user is tricked into approving an authentication prompt for an attacker-controlled device.
Detects authentication to Snowflake instances where Multi-Factor Authentication (MFA) is absent and the account authenticates from multiple distinct source IP addresses within a 14-day window. This behavior is indicative of potential account takeover using compromised non-MFA credentials, a pattern consistent with activities attributed to threat actors like ShinyHunters/UNC5537.
Detects unauthorized abuse of the OAuth 2.0 device authorization grant flow in Salesforce environments, commonly used by threat actors like ShinyHunters (UNC6240) to gain programmatic access. Attackers register malicious connected apps to impersonate legitimate tools, then use social engineering (vishing) to trick victims into approving device codes. This rule flags token issuance from non-allowlisted connected apps using the device_code grant type.
Detects successful authentication events for accounts that have been dormant for at least 90 days, correlated with suspicious activity markers such as recent failed sign-in attempts, access from an unfamiliar geographic location or ASN, or a complete absence of historical sign-in activity.
Detects instances where a user account consents to an OAuth application requesting high-privilege or sensitive scopes such as Mail.Read, Files.ReadWrite.All, or offline_access. This behavior is a common indicator of consent phishing attacks, where adversaries trick users into granting persistent access to their cloud resources via malicious OAuth applications.
Detects potential Adversary-in-the-Middle (AiTM) session token theft by monitoring for an initial interactive sign-in followed shortly by a non-interactive token refresh from a different IP address and browser fingerprint without a multi-factor authentication (MFA) challenge. This behavior is indicative of an adversary replaying captured session cookies via reverse-proxy infrastructure.
This rule detects potentially malicious POST requests to SharePoint endpoints (such as AddGallery.aspx) that include indicators of WebPartMarkup or ToolPane payloads. This activity attempts to bypass the SPUtility.EnsureAuthentication() check that is typically enforced on the ToolPane.aspx page, potentially allowing unauthorized code execution or configuration manipulation.
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