Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
345 detections
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Detects the multi-stage Microsoft cloud identity compromise chain reported by Microsoft Security Research (September 2026): a victim completes a successful Entra ID device-code sign-in (often induced by passkey-themed device-code phishing), the same identity's authentication/security info is registered or changed (MFA/passkey persistence) within 60 minutes (deduplicated to the earliest such event per sign-in), followed within 120 minutes by a burst of at least 25 successful, delegated-context Microsoft Graph API calls (Scopes claim populated, i.e. user-delegated permissions rather than pure application/client-credential access) spanning at least 3 distinct resource paths, exhibiting reconnaissance (>=5 requests against /users, /groups, /directoryRoles, /roleManagement, /applications, /servicePrincipals, /organization) and/or collection (>=10 requests against /messages, /mailFolders, /attachments, /drive, /drives, /sites, /lists, /search) patterns. Restricting to delegated (Scopes-bearing) Graph calls and requiring resource-path breadth removes the two largest false-positive sources: service-principal/application-only automation jobs (Roles-only tokens) and single-endpoint polling tools. Pure behavioral correlation across SigninLogs, AuditLogs, and MicrosoftGraphActivityLogs - no static IOCs. Flags whether Graph activity originated from an IP different from the original device-code sign-in IP as a strong pivot/session-reuse indicator.
Detects a rapid burst of read-only IAM and STS API enumeration calls originating from a single source IP address within a one-minute window. This behavior is indicative of automated reconnaissance tools (e.g., enumerate-iam, Pacu) used in the early stages of a cloud attack to identify permissions and potential targets for privilege escalation.
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 rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects anomalous activity where AI assistant processes (e.g., Claude, ChatGPT, GitHub Copilot) execute a high volume of diverse discovery commands. The rule correlates multiple discovery categories, such as account, network service, system information, and network configuration discovery, occurring within a short timeframe to identify potential abuse of AI-integrated development tools for host reconnaissance.
Detects anomalous activity where AI assistant processes (e.g., Claude, ChatGPT, GitHub Copilot) execute a high volume of diverse discovery commands. The rule correlates multiple discovery categories, such as account, network service, system information, and network configuration discovery, occurring within a short timeframe to identify potential abuse of AI-integrated development tools for host reconnaissance.
Detects anomalous activity where AI assistant processes (e.g., Claude, ChatGPT, GitHub Copilot) execute a high volume of diverse discovery commands. The rule correlates multiple discovery categories, such as account, network service, system information, and network configuration discovery, occurring within a short timeframe to identify potential abuse of AI-integrated development tools for host reconnaissance.
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects an accelerated sequence of attack phases—specifically recon, privilege escalation, lateral movement, and persistence—occurring on a single device within a short timeframe (15 minutes). This behavioral pattern indicates potential automated or script-orchestrated intrusion activity.
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, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects reconnaissance behavior (System Information, Account, and Network Discovery) performed by processes associated with AI and LLM coding assistants. The rule monitors for a chain of suspicious activities, such as executing discovery commands or excessive network scanning within a 10-minute window, identifying potential misuse of developer-oriented agent tools for post-exploitation reconnaissance.
Detects reconnaissance behavior (System Information, Account, and Network Discovery) performed by processes associated with AI and LLM coding assistants. The rule monitors for a chain of suspicious activities, such as executing discovery commands or excessive network scanning within a 10-minute window, identifying potential misuse of developer-oriented agent tools for post-exploitation reconnaissance.
Detects reconnaissance behavior (System Information, Account, and Network Discovery) performed by processes associated with AI and LLM coding assistants. The rule monitors for a chain of suspicious activities, such as executing discovery commands or excessive network scanning within a 10-minute window, identifying potential misuse of developer-oriented agent tools for post-exploitation reconnaissance.
This rule detects potential cloud service enumeration activity originating from a specific, potentially malicious IP address (23.234.84.102). It flags instances where this source IP performs specific API calls ('GetCallerIdentity' and 'ListTopics') without expected user-agent strings typical of legitimate AWS service traffic.
Detects an accelerated sequence of attack phases—specifically recon, privilege escalation, lateral movement, and persistence—occurring on a single device within a short timeframe (15 minutes). This behavioral pattern indicates potential automated or script-orchestrated intrusion activity.
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, 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.
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