4 releases (2 stable)

3.0.0 May 28, 2021
1.0.0 Aug 1, 2020
0.2.0 May 17, 2020
0.1.0 Mar 12, 2020

#2068 in Parser implementations

21 downloads per month

MIT license

28KB
539 lines

binsec

Actions crates.io version

Swiss Army Knife for Binary (In)security

binsec is a minimal static analysis utility for detecting security capabilities in ELF/PE/Mach-O executables. It's useful for reverse engineers and vulnerability researchers to gain quick and deeper insights into binary artifacts, build fast detection pipelines, and improve overall binary analysis.

Features

  • Cross-platform, supports robust checks for ELF/PE/Mach-Os while running on any host.
  • Backends libgoblin for efficient and cross-platform binary parsing.
  • JSON serializable for storage/logging consumption.
  • Small and ast: final release build is ~2.44Mb, with analysis done in 30ms.

Static Analysis Checks

The project currently supports static detection for a variety of executable checks:

  • Compilation Features - insights about how the executable was compiled, and runtimes used in that process.
  • Exploit Mitigations - OS-supported binary hardening features used to limit exploitation and priviledge escalation.
  • Dynamic Instrumentation - detects any known instrumentation frameworks used for dynamic analysis and/or profiling.
  • Anti-Analysis (WIP) - noticeable anti-analysis checks employed to mitigate reverse engineering.

Usage

Install binsec as a command line application as so:

$ cargo install binsec

Using the application is meant to be very simple. Given any binary executable you want to conduct initial analysis, simply pass it in as a positional argument:

$ binsec -- ./suspicious

binsec output can also be serialized into JSON:

# print to stdout
$ binsec --json - -- ./suspicious

# print to path
$ binsec --json report.json -- ./suspicious

Contributing

This is something that is continually being developed! You can contribute by catching issues and bugs and submitting them through the issue tracker or making a pull request!

License

MIT License

Dependencies

~9.5MB
~201K SLoC