---
id: bloodhound
version: "1.9.0"
license: MIT
license_treatment: permissive
maintenance: aging
---

# bloodhound — Python based ingestor for BloodHound

License: permissive · Maintenance: aging · Downloads: 101.2K/mo

## What it is and what it does

BloodHound.py is a command-line tool that connects to an Active Directory domain using supplied credentials and systematically queries LDAP and domain computers to map users, groups, computers, trusts, sessions, and local admin relationships. It exports this graph data in a format that BloodHound (versions 4.2 and 4.3) can ingest and visualize, helping security teams identify attack paths and privilege escalation routes in their AD infrastructure.

The tool supports multiple collection methods—Group, LocalAdmin, RDP, DCOM, Container, PSRemote, DCOnly, Session, Acl, Trusts, LoggedOn, ObjectProps, and Experimental—which can be combined or run individually to focus enumeration on specific aspects of the domain. It is built on impacket and relies on dnspython, ldap3, pyasn1, and pycryptodome for network communication and cryptographic operations. The aging maintenance status reflects a mature, stable tool rather than active feature development.

Use it for:

- Red team or penetration tester mapping an AD domain to identify privilege escalation paths and lateral movement opportunities.
- Blue team security analyst enumerating domain trust relationships and local admin group memberships to audit access control.
- Security researcher collecting AD structure and ACL data for threat modeling and attack surface analysis.
- Incident responder investigating compromised domain accounts by mapping session data and group memberships.
- Compliance auditor documenting domain user and group relationships for access control review.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

BloodHound.py is a Python ingestor that enumerates Active Directory domain structure, relationships, and security configurations and exports them for analysis in BloodHound (versions 4.2 and 4.3).

Yes, if you are conducting authorized Active Directory security testing or analysis and need to ingest domain data into BloodHound 4.2 or 4.3. The tool is stable, has no known vulnerabilities, and low install friction. Verify that your target BloodHound version matches (4.2/4.3 for this branch, or switch to bloodhound-ce for Community Edition) and that you have valid credentials and network access to the domain.

## Install

pip install bloodhound
uv add bloodhound
poetry add bloodhound

## Installing bloodhound

Before you install: Low friction installation as a pure-Python wheel with five runtime dependencies. Maintenance status is aging—last release was 294 days ago—but the repository remains active and unarchived with 2430 stars.

License in practice: MIT license permits commercial and private use, modification, and distribution with minimal restrictions; suitable for security testing in environments where you control the terms.

Quickstart:

pip install bloodhound
bloodhound-python -u username -d domain.com -gc gc.domain.com -c Default

Requires valid Active Directory credentials (username/password, NT hash, AES keys, or Kerberos TGT) and network access to domain controllers and member hosts.

Verify before relying:

- Whether GPO local groups collection limitation affects your target domain's security posture analysis.
- Compatibility with BloodHound Community Edition (CE) vs. legacy versions and which branch/package to install.
- Actual monthly download volume and adoption rate in security teams.

## Package facts

- License: MIT (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: aging
- Downloads: 101.2K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

active directory enumeration, bloodhound ingestor python, ad domain reconnaissance, ldap enumeration tool, domain trust mapping, active-directory, penetration-testing, graph-enumeration

[View on SkillFed](https://skillfed.io/packages/bloodhound) · [View on PyPI](https://pypi.org/project/bloodhound/)