discovered 11 Aug 2026
NoiseHound
→ View on GitHubNoiseHound is a detection-aware Active Directory attack-path scoring tool that enables cybersecurity operators to identify the quietest routes to administrative control within a network, leveraging BloodHound graph data. Its primary use case is for operational security (OPSEC) planning in authorized engagements, providing better risk assessments by incorporating expected detection costs instead of just hop counts. Notable features include support for multiple detection tiers, a calibration harness to measure edge effectiveness, and the ability to ingest various data formats for comprehensive path analysis.