ipa-lab/hackingBuddyGPT
Helping Ethical Hackers use LLMs in 50 Lines of Code or less.. observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 21
- Longevity 80
Flags: prerelease_only
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 124
- age_days: 1127
- days_rel: 371
- days_push: 12
- n_releases_24m: 2
Adoption not part of the score
1223 stars · 209 forks observed · 2026-08-28
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
- readme: https://github.com/ipa-lab/hackingBuddyGPT · fetched 2026-08-28 · ca9f4f90dd05
- homepage: https://hackingbuddy.ai/ · fetched 2026-08-29 · ac69aa933937
- registry_pypi: https://pypi.org/pypi/hackingbuddygpt/json · fetched 2026-08-29 · e3f5b85998cf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ipa-lab/hackingBuddyGPT | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="ipa-lab/hackingBuddyGPT")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem