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.
Confidence matrix
Kong works with most Ghidra-decompilable binaries. Confidence varies by architecture and source language:| C | C++ | Go | Rust | |
|---|---|---|---|---|
| x86 | High | High | Medium | Medium |
| x86-64 | High | High | Medium | Medium |
| ARM (32-bit) | High | High | Medium | Low |
| AArch64 | High | High | Medium | Low |
| MIPS | Medium | Medium | Low | Low |
| PowerPC | Medium | Medium | Low | Low |
Confidence definitions
High — Kong reliably decompiles, deobfuscates, and recovers names, types, and structure. Expect 80%+ of functions named with high confidence. Medium — Decompilation is usable but noisier. Expect partial recovery and lower confidence scores. Go and Rust binaries have more complex calling conventions and runtime patterns that reduce accuracy. Low — Decompilation has significant gaps. Results will be incomplete, noisy, or partially unreadable. Kong will still produce output, but expect many low-confidence results.Scaling considerations
Binary size correlates with:- Function count — more functions = longer analysis
- LLM cost — more functions = more API calls
- Time to completion — roughly linear with function count