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

ipa-lab/hackingBuddyGPT

Helping Ethical Hackers use LLMs in 50 Lines of Code or less.. observed · 2026-10-17

github.com/ipa-lab/hackingBuddyGPT · homepage · Python · MIT (permissive) observed · 2026-10-17

Health v2 · maintenance only

66/100

  • Activity 97
  • Release rhythm 16
  • Longevity 83

Flags: prerelease_only

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 124
  • age_days: 1175
  • days_rel: 419
  • days_push: 20
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1274 stars · 222 forks observed · 2026-10-17

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

HackingBuddyGPT is a Python framework that helps ethical hackers and security researchers use LLMs and LLM-based autonomous agents for penetration testing, aiming for minimal-code experimentation. It includes reusable Linux privilege-escalation benchmarks and supports SSH and local shell execution against targets.

Use cases

  • automate penetration testing with llm agents
  • find linux privilege escalation vulnerabilities with ai
  • use llms to discover attack vectors
  • build an ai hacking agent for security testing
  • benchmark llms on security tasks
  • earn bug bounties using ai-assisted hacking

When to choose

  • you are a security researcher or pentester experimenting with LLM-driven agents
  • you want a lightweight, hackable framework for AI-assisted security testing
  • you need priv-esc benchmarks to evaluate LLMs on security tasks

When to avoid

  • you need a production-grade, fully automated pentesting product
  • you cannot run commands in an isolated environment, since it executes commands on live targets
  • you are not comfortable with experimental research software

Facets

framework · maturity active

agent-framework llm-inference penetration-testing security security penetration-testing artificial-intelligence large-language-models python cli ethical-hacking pentesting llm-agents privilege-escalation security-research bug-bounty ai-agents linux

3 sources

Member repositories

RepositoryRoleHealth v2
ipa-lab/hackingBuddyGPTmain66

For agents

markdown · JSON · MCP: product_card(name="ipa-lab/hackingBuddyGPT")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem