BeaconHunter: ETW-based Cobalt Strike beacon detection

BeaconHunter is a C# tool designed to detect and respond to Cobalt Strike beacons by monitoring ETW (Event Tracing for Windows) events. This project addresses the challenge of identifying malicious processes exhibiting beacon-like behavior. It provides a mechanism for blue teams to hunt for threats and red teams to study evasion techniques.

BeaconHunter's strength lies in its use of ETW, providing deep visibility into process behavior. The tool offers a comprehensive set of monitoring features, including network, DNS, file system, and shell activity analysis. The automated thread suspension functionality allows for rapid response to detected threats, streamlining incident response workflows.

• Network Monitoring: Detects suspicious HTTP/HTTPS callbacks, providing visibility into network communication.
• DNS Query Analysis: Monitors DNS queries to identify beacon-related domains and patterns.
• File System Activity: Tracks file system operations like cd, ls, upload, and rm for unusual actions.
• Process Termination Monitoring: Detects process termination events (kill) potentially indicating beacon activity.
• Shell Command Detection: Identifies suspicious shell commands like run and execute to detect command injection or payload execution.
• Automated Thread Suspension: Allows automated thread suspension based on configurable network beacon scores.
• Pre-compiled Binaries: Offers pre-compiled executables for easy deployment.

BeaconHunter appears to be a functional project with a clear focus on its core functionality. The project has a solid foundation built around ETW tracing. Recent commits suggest ongoing maintenance and improvements. Detailed documentation on ETW providers and events is included, and the community engagement seems limited to GitHub stars and forks.

BeaconHunter is valuable for security analysts and researchers seeking to proactively identify and respond to Cobalt Strike threats. It offers a powerful tool for threat hunting, incident response, and understanding attacker techniques. The tool provides actionable insights into malicious process behavior, enabling quicker mitigation of potential attacks compared to manual analysis or relying solely on signature-based detection.