Bloodhound Reporting for Blue and Purple Teams
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Updated
Nov 15, 2025 - Python
Bloodhound Reporting for Blue and Purple Teams
Generate BloodHound compatible JSON from logs written by ldapsearch BOF, pyldapsearch and Brute Ratel's LDAP Sentinel
BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.
Identify the attack paths in BloodHound breaking your AD tiering
Python based Bloodhound data converter from the legacy pre 4.1 format to 4.1+ format
Tool for issuing manual LDAP queries which offers bofhound compatible output
Addon for BHCE
Community Tasks/Plans for PlumHound Queueing
An easy way to convert BloodHound output files into data that can be imported into reporting software like Dradis and Plextrac. Built by Layer 8.
Enable Cobalt Strike BOF to extract credentials and tokens via LsaCallAuthenticationPackage without accessing LSASS memory or bypassing PPL.
🔍 Reimplement the Cobalt Strike BOF Loader to debug edge cases, addressing issues with sections not handled by the original loader for effective BOF development.
A list of BloodHound related things
Custom BloodHound Queries
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