Documentation Index
Fetch the complete documentation index at: https://docs.kong.fyi/llms.txt
Use this file to discover all available pages before exploring further.
The world’s first AI reverse engineer
LLM-orchestrated binary analysis that recovers function names, types, and structures from stripped binaries — so you don’t have to.Quick Start
Go from install to fully-analyzed binary in under five minutes.
XZ Backdoor Case Study
See Kong tear apart the XZ Utils backdoor and recover meaningful symbols from a real-world implant.
What Kong does for you
Kong plugs an LLM into Ghidra’s analysis engine and runs a fully autonomous pipeline: decompile, analyze, rename, retype, and export. One command. No babysitting.Autonomous Pipeline
A single command runs the complete analysis from triage to export. No manual intervention required — just point it at a binary and walk away.
In-Process Ghidra
Runs Ghidra’s analysis engine in-process via PyGhidra. No server, no RPC, no subprocess overhead. Just direct, fast access to the decompiler.
Agentic Deobfuscation
Identifies and removes obfuscation techniques using an LLM-driven symbolic tool loop. Control-flow flattening, opaque predicates — Kong handles it.
Semantic Synthesis
A post-analysis pass that unifies naming conventions and synthesizes struct definitions across the entire binary. Consistency, automatically.
Multi-Provider LLM Support
Works with Anthropic (Claude) and OpenAI (GPT-4o) out of the box, plus custom endpoints. Bring your own model if you want.
Call-Graph-Ordered Analysis
Functions are analyzed bottom-up so callers benefit from already-resolved callee context. Smarter naming, better types, fewer hallucinations.
See it in action
