HackingBuddyGPT

Open-source framework letting security researchers use LLMs to find attack vectors over SSH or a shell.

Desktopfree

HackingBuddyGPT is an open-source framework from the IPA-Lab research group that helps security researchers use LLMs to discover attack vectors, aiming to do so in as little as 50 lines of code. It supports both SSH connections to remote targets and local shell execution so an LLM can drive commands during testing. It is intended for security researchers and ethical hackers, and the project recommends isolated or virtual environments given commands can modify the target system.

Website

Full match profile

Behind the summary, Matchbox keeps a richer profile of HackingBuddyGPT - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

Claim HackingBuddyGPT to unlock →

Try Matchbox with your own problem

Describe what is not working - we’ll show you whether HackingBuddyGPT (or something else) actually fits.

Try a problem