bloodhound
Python based ingestor for BloodHound
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires valid Active Directory credentials (username/password, NT hash, AES keys, or Kerberos TGT) and network access to domain controllers and member hosts.
- 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 · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use, modification, and distribution with minimal restrictions; suitable for security testing in environments where you control the terms.
last release 2025-10-24 (294 days) · last repo commit 2025-10-24 · 2,430 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,193 downloads/mo, #12,956 on PyPI
Alternatives
Verify before relying
pip install bloodhound
bloodhound-python -u username -d domain.com -gc gc.domain.com -c Default- 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.
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 on this page. Verify before relying on it.
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
bloodhound on PyPI
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.
Requires valid Active Directory credentials (username/password, NT hash, AES keys, or Kerberos TGT) and network access to domain controllers and member hosts.
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 DefaultVerify 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 | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesdnspythonimpacketldap3pyasn1pycryptodome |
| Maintenance | Aging 294 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 101,193 / month, #12,956 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: Information TechnologyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: bloodhound-1.9.0-py3-none-any.whl
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