Open-source Kong automates LLM-guided reverse engineering of stripped binaries
Sign in✓ Signed in
Kong, an open-source tool for automated binary analysis, has been released on PyPI as kong-re, aiming to recover function names, types, parameters and call-graph context from stripped or obfuscated binaries with an LLM-orchestrated pipeline. The project combines Ghidra-based decompilation with agent-style analysis, then writes recovered information back into the Ghidra program database.
Continue reading
The rest of this article is for AI News Blitz readers. Choose an option below to keep reading.
Already purchased? Sign in✓ Signed in — this article isn’t included in your current plan.
Unlocking the full article...