Arnold Chan
@slazTrusted contributorCompletionist
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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 the execution of MicrosoftIME.exe or the creation of scheduled tasks referencing it from non-standard directories such as User, Temp, or AppData folders. This behavior is indicative of masquerading or persistence mechanisms where a malicious process mimics the legitimate Microsoft Input Method Editor (IME) binary.
Detects endpoint, process, and network activity associated with the 'TaskStomp' threat actor, specifically targeting known malicious file hashes, command-and-control domains, and specific URLs used in their campaigns.
Detects rapid termination of specific mobile messenger applications (Max) within seconds of starting, while indicators of the Frida dynamic instrumentation tool are concurrently detected on the device. This pattern suggests the application is identifying the presence of a hooking/instrumentation environment and self-terminating as a defense mechanism. The detection is further correlated with failed connection attempts to the application's backend.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
Detects AI agent tooling (e.g., LangChain, Copilot, Claude Code) performing read operations on databases containing sensitive data patterns, or performing suspicious bulk data enumeration. The rule monitors Azure SQL Database security audit events for suspicious application name signatures and non-schema introspective queries.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects the creation or renaming of files to a .aspx extension within specific web application directories (member file-upload). The rule specifically filters for file operations initiated by the IIS worker process (w3wp.exe) and requires a non-zero file size, identifying potential web shell deployment attempts.
Detects instances where AI developer tools or IDE assistants (e.g., Claude, Copilot, Cursor) execute data collection commands (such as directory traversal or archiving) followed by or concurrent with the bulk access of sensitive files (credentials, configuration files) or personal user data.
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