Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects modifications or creation of GitHub Actions workflow files containing references to Model Context Protocol (MCP) extensions or AI-related build tools. This monitors for indicators of potential software supply chain tampering, where an adversary injects unauthorized CI/CD pipeline steps for malicious execution.
Detects suspicious Microsoft Intune device enrollment activities characterized by the use of a spoofed User-Agent (matching Microsoft Office/Outlook strings) and rapid, multiple enrollment attempts within a short timeframe. This behavior is associated with adversary use of device-code phishing kits to enroll rogue devices using stolen session tokens.
Detects Microsoft Intune MDM enrollment events occurring shortly after an OAuth 2.0 device code authentication for the same user. This pattern is indicative of an adversary using stolen OAuth tokens or Primary Refresh Tokens (PRT) to perform rogue MDM enrollment, a technique used to maintain persistence and bypass standard security controls such as password resets.
Detects rapid succession of a successful device code authentication followed by the acquisition of a Primary Refresh Token (PRT) within 80 seconds for the same user. This pattern is indicative of device code phishing (or 'quishing'), where an adversary tricks a user into entering an authorization code into a malicious application to steal their session.
Detects high-privilege administrative actions, such as adding collaborators, transferring repository ownership, generating personal access tokens, or pushing code, performed on GitHub repositories classified as 'plugin' types. This rule monitors for potential supply chain compromise or unauthorized access within plugin development workflows.
Detects rapid access to multiple Microsoft 365 collection applications (Office, OneDrive, Teams) by a user account from specific AWS EC2 IP ranges identified as associated with the TeamFiltration tool. This behavior is consistent with automated exfiltration of email, chats, and files.
Detects high-volume account existence checks targeting the Microsoft Teams API. The rule identifies anomalous authentication attempts characterized by the use of outdated Electron/Chrome user-agent strings associated with the TeamFiltration tool, specifically targeting the Microsoft Teams API AppId (1fec8e78-bce4-4aaf-ab1b-5451cc387264).
Detects high-volume account existence checks targeting the Microsoft Teams API. The rule identifies anomalous authentication attempts characterized by the use of outdated Electron/Chrome user-agent strings associated with the TeamFiltration tool, specifically targeting the Microsoft Teams API AppId (1fec8e78-bce4-4aaf-ab1b-5451cc387264).
Detects rapid access to multiple Microsoft 365 collection applications (Office, OneDrive, Teams) by a user account from specific AWS EC2 IP ranges identified as associated with the TeamFiltration tool. This behavior is consistent with automated exfiltration of email, chats, and files.
Detects anomalous sign-in patterns from a single IP address that target multiple accounts with a high success rate within a short timeframe. This behavior is indicative of targeted credential guessing or password spraying informed by reconnaissance, as it deviates from the typical low-success-rate patterns of broad brute-force attacks.
This rule detects potential CI/CD security compromises in GitHub by monitoring for modifications to workflow permissions that grant 'write-all' access, access to sensitive workflow secrets via 'pull_request_target' from forked repositories, and the registration of new self-hosted runners. These actions are common indicators of supply chain attacks aimed at poisoning pipeline execution or exfiltrating build secrets.
Detects high-value wire transfer approvals within payment and ERP systems that exhibit indicators of business process compromise, specifically those bypassing standard dual-authorization controls in the immediate aftermath of an out-of-band verification event, suggesting potential deepfake or social engineering impersonation attacks.
Detects unauthenticated network requests targeting specific administration endpoints (SetupCompleted, configure-update-service, or /admin/) of PaperCut NG/MF applications. The rule identifies potential exploitation attempts by flagging successful requests that return HTTP status codes other than 401 (Unauthorized) or 403 (Forbidden), indicating a possible authentication bypass.
Detects potential password spraying activity in Azure Active Directory by identifying a single source IP address that authenticates against multiple distinct user accounts within a short time frame. The rule flags instances where there are numerous authentication attempts across many users, characterized by a low per-user failure count followed by at least one successful authentication, which is indicative of a successful password spray attempt.
Detects high-volume, rapid enumeration of core Microsoft Graph directory endpoints (users, groups, applications, and servicePrincipals) by a single identity or session. This behavior is indicative of reconnaissance tools such as AADInternals, ROADtools, or TokenTactic being used to map out a cloud environment's directory structure.
Detects high-volume, rapid enumeration of core Microsoft Graph directory endpoints (users, groups, applications, and servicePrincipals) by a single identity or session. This behavior is indicative of reconnaissance tools such as AADInternals, ROADtools, or TokenTactic being used to map out a cloud environment's directory structure.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
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