Ross ROSS = Recommend OSS · open-source software intelligence for agents

dirkjanm/BloodHound.py

A Python based ingestor for BloodHound observed · 2026-08-28

github.com/dirkjanm/BloodHound.py · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

54/100

  • Activity 48
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3110
  • days_rel: n/a
  • days_push: 313
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2437 stars · 381 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

BloodHound.py is a Python-based data ingestor for BloodHound that enumerates Active Directory domains, collecting users, groups, computers, sessions, trusts, and local admin relationships. It is built on Impacket and provides a command-line tool (bloodhound-python) that outputs JSON data for BloodHound graph analysis.

Use cases

  • enumerate active directory users groups and computers from linux
  • collect bloodhound data without running windows tools
  • map active directory attack paths and privilege escalation routes
  • gather domain trust and local admin information for pentest reports
  • query ldap and remote computers to collect session data
  • ingest AD data into bloodhound for graph analysis

When to choose

  • you need to run BloodHound data collection from Linux or macOS without Windows
  • you want a scriptable, pip-installable alternative to SharpHound
  • you are doing AD security assessments or red team engagements from a non-Windows host
  • you need to authenticate with NT hashes, AES keys, or Kerberos tickets instead of passwords

When to avoid

  • you are running BloodHound Community Edition and need the CE branch rather than legacy 4.2/4.3 support
  • you need the full collection fidelity of SharpHound on a Windows domain-joined machine
  • you are not working with Active Directory environments

Facets

cli-tool · maturity active

security penetration-testing cli data-generation security penetration-testing developer-tools python cli windows cross-platform active-directory bloodhound ldap-enumeration ad-security-assessment impacket ingestor red-team command-line linux macos

1 source

Member repositories

RepositoryRoleHealth v2
dirkjanm/BloodHound.pymain54

For agents

markdown · JSON · MCP: product_card(name="dirkjanm/BloodHound.py")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem