[Name] - AIDebug

[Version] - 1.0.0

Use the tagged release, not a moving branch:
https://github.com/anpa1200/AIDebug/releases/tag/v1.0.0

[Homepage] - https://github.com/anpa1200/AIDebug

[Download] -

• Release: https://github.com/anpa1200/AIDebug/releases/tag/v1.0.0
• PyPI: https://pypi.org/project/1200km-aidebug/

[Author] - Andrey Pautov

[Licence] - MIT

[Description] - AIDebug is a Python malware-analysis and reverse-engineering CLI/TUI that turns function-level behavior into ATT&CK mappings, IOC exports, YARA seed rules, JSON output, and analyst HTML reports. It supports PE and ELF triage, Capstone disassembly, behavioral pattern detection, optional Frida dynamic instrumentation, and optional AI-backed explanation. The AI features are optional; the core analysis path still produces structured analyst outputs without an API key.

[Dependencies] -

• Python >= 3.10
• anthropic >= 0.40
• capstone >= 5
• pefile >= 2023.2.7
• pyelftools >= 0.31
• rich >= 13.0.0
• textual >= 0.52.0
• Optional: frida >= 16

[Similar tools] - radare2/rizin, cutter, ghidra, edb-debugger, pefile, detect-it-easy, yara, capa.

[Activity] - Active. Public release v1.0.0 was published on 2026-06-14. The project includes PyPI packaging, GitHub release artifacts, CI, tests, Debian/Kali packaging metadata, a man page, and autopkgtest metadata.

[How to install] -
pipx install 1200km-aidebug
aidebug --help

[How to use] -
aidebug --help
aidebug --binary ./sample.exe --no-tui --report --json-export --out-dir ./reports
aidebug --binary ./sample.elf --no-ai --no-tui --json-export --out-dir ./reports

[Packaged] - Not currently packaged in Debian or Kali.