Bloodhound Reporting for Blue and Purple Teams
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Updated
Nov 15, 2025 - Python
Bloodhound Reporting for Blue and Purple Teams
Maximizing BloodHound. Max is a good boy.
Uses Sharphound, Bloodhound and Neo4j to produce an actionable list of attack paths for targeted remediation.
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.
Tool to enumerate privileged Scheduled Tasks on Remote Systems
A python tool to map the access rights of network shares into a BloodHound OpenGraphs easily
A Red Team Activity Hub
Python based GUI for browsing LDAP
Collect infrastructure and permissions data from vCenter and export it as a BloodHound‑compatible graph using Custom Nodes/Edges
ProfileHound - BloodHound OpenGraph collector for user profiles stored on domain machines. Make informed decisions about looting secrets by identifying active user profiles on domain machines.
Some scripts to support with importing large datasets into BloodHound
Vampire is an aggressor script which integrates with BloodHound to mark nodes as owned.
This script analyzes the DCSync output file from several tools (such as Mimikatz, Secretsdump and SharpKatz...)
Python based Bloodhound data converter from the legacy pre 4.1 format to 4.1+ format
A new tool to exploit automatically bad configurations in Active Directory with BloodHound json files
Tool for issuing manual LDAP queries which offers bofhound compatible output
Convert an LDIF file to JSON files ingestible by BloodHound
Reproducible and extensible BloodHound playbooks
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