Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a suspicious sequence of Git operations ('fetch' followed by 'checkout') executed within a 5-minute window, where the initiating process is a known AI-assisted development tool (Claude, Codex, Copilot, or Gemini). This behavioral pattern may indicate an attempt to use AI tooling to facilitate the unauthorized access or exfiltration of code repositories.
Detects network communication to known MovieReaper C2 infrastructure (deadhub.org or 193.23.118.155) originating from a masqueraded 'msedge.exe' process located in 'C:\ProgramData\Microsoft\Windows\Telemetry\', indicating potential C2 check-ins or data exfiltration by the file manager module.
This query uses Purview IRM telemetry to identify emails with attachments sent to free public domains.
Detects outbound network communication from common web browsers (chrome.exe, msedge.exe) to a specific malicious domain and path associated with suspected Kremlin-linked screenshot exfiltration activities.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
Detects the usage of s5cmd, a command-line tool for S3, to communicate with AWS S3 endpoints. This behavior is indicative of potential data exfiltration by an adversary using authorized cloud storage tools to move data out of the environment.
Detects HTTP POST requests directed at 'relay.php' containing a specific 'CrpxBoundary' in the request body and an 'Authorization' header with the value 'Bearer crpx0_c2_2026'. This pattern is indicative of the CRPx0 malware exfiltrating data in chunks over an established C2 channel.
Detects anomalous data transfer patterns characteristic of exfiltration by identifying a high frequency of relatively small, uniform data chunks sent to an external destination. By aggregating these chunks, the rule identifies cumulative data transfers that exceed the defined organizational threshold for a single connection, potentially bypassing security controls that monitor only individual file transfer sizes.
This rule monitors cloud audit logs for high-frequency file access operations originating from a Python-based HTTP client (python-httpx). This behavior is characteristic of automated collection or exfiltration scripts utilizing cloud APIs to download or access large quantities of files.
Detects anomalous or high-volume activity related to Microsoft Graph API calls targeting email messages, mail folders, or attachments. This behavior is indicative of potential unauthorized bulk email collection or exfiltration attempts, often observed in account compromise scenarios where an attacker enumerates and downloads mail contents.
Detects anomalous, high-volume access to Exchange Online via the REST API, potentially indicating programmatic exfiltration of email content. This rule monitors for specific suspicious Application IDs, Account Display Names, or Account Object IDs that exceed a threshold of 500 Exchange REST events, which is characteristic of mass-email collection patterns often seen in cloud-based identity compromises.
Detects the MovieReaper payload behavior where a specific file manager process masquerading as a legitimate system utility (msedge.exe) performs mass file enumeration or access followed by suspicious outbound network connections, indicative of data staging and exfiltration.
Detects the MovieReaper payload behavior where a specific file manager process masquerading as a legitimate system utility (msedge.exe) performs mass file enumeration or access followed by suspicious outbound network connections, indicative of data staging and exfiltration.
Detects the MovieReaper payload behavior where a specific file manager process masquerading as a legitimate system utility (msedge.exe) performs mass file enumeration or access followed by suspicious outbound network connections, indicative of data staging and exfiltration.
Detects the MovieReaper payload behavior where a specific file manager process masquerading as a legitimate system utility (msedge.exe) performs mass file enumeration or access followed by suspicious outbound network connections, indicative of data staging and exfiltration.
Detects a single user account authenticating, performing Graph API reconnaissance, and conducting data exfiltration across three distinct source IP addresses within a one-hour window. This behavior is indicative of threat actors like Storm-3121 or Storm-3032 rotating infrastructure per attack stage to evade network-based detection.
Detects a single user account authenticating, performing Graph API reconnaissance, and conducting data exfiltration across three distinct source IP addresses within a one-hour window. This behavior is indicative of threat actors like Storm-3121 or Storm-3032 rotating infrastructure per attack stage to evade network-based detection.
This rule detects anomalous behavior where an identity performs multi-category discovery (e.g., users, groups, directory roles, applications) via Microsoft Graph API within a single session, followed by intensive collection of content (files, attachments, or messages). This sequence is indicative of an adversary performing reconnaissance to map an environment before moving to data exfiltration or theft.
Detects HTTP POST exfiltration patterns characteristic of the RevStealer malware. The rule identifies suspicious POST requests to a /cdn/ URI path with specific internal file naming, utilizing a spoofed Chrome 147 User-Agent and specific header indicators (_fbp, _sid).
Detects PowerShell command execution patterns indicative of the VelvetCake malware module. The rule identifies scripts that enumerate files within the C:\Users\Public directory, calculate file metrics using [math]::Round, and stage discovered files for transmission over a raw TCP connection using System.Net.Sockets.TcpClient.
This rule detects HTTP GET requests containing specific URI parameters (OKey, Who, Areyou=cake) indicative of communication patterns associated with the Konni and VelvetCake malware families during exfiltration or command-and-control operations.
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