Bloodhound Reporting for Blue and Purple Teams
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Updated
Feb 21, 2025 - Python
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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.
A Red Team Activity Hub
Some scripts to support with importing large datasets into BloodHound
Vampire is an aggressor script which integrates with BloodHound to mark nodes as owned.
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
This script analyzes the DCSync output file from several tools (such as Mimikatz, Secretsdump and SharpKatz...)
Reproducible and extensible BloodHound playbooks
Convert an LDIF file to JSON files ingestible by BloodHound
A Python based tool to convert custom queries from Legacy BloodHound to BloodHound CE format, with the option to directly upload them to the API or save them to a file for later use.
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.
List of Bloodhound Python Custom Queries which I have found to be handy on engagements
Convert infrastructure scans into various output formats such as Markdown tables, YAML, HTML, CSV, and more. Can also be used to generate launch scripts for various other scanners.
Rakound is a tool written in Python that interacts with BloodHound database (neo4j) to retrieve data, add NTLM hashes and cracked passwords.
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