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A fork and successor of the Sulley Fuzzing Framework

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boofuzz: Network Protocol Fuzzing for Humans

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Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, boofuzz aims for extensibility. The goal: fuzz everything.

boofuzz screenshot

Why?

Sulley has been the preeminent open source fuzzer for some time, but has fallen out of maintenance.

Features

Like Sulley, boofuzz incorporates all the critical elements of a fuzzer:

  • Easy and quick data generation.
  • Instrumentation – AKA failure detection.
  • Target reset after failure.
  • Recording of test data.

Unlike Sulley, boofuzz also features:

  • Online documentation.
  • Support for arbitrary communications mediums.
  • Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast.
  • Better recording of test data -- consistent, thorough, clear.
  • Test result CSV export.
  • Extensible instrumentation/failure detection.
  • Much easier install experience!
  • Far fewer bugs.

Sulley is affectionately named after the giant teal and purple creature from Monsters Inc. due to his fuzziness. Boofuzz is likewise named after the only creature known to have scared Sulley himself: Boo!

Boo from Monsters Inc

Boo from Monsters Inc

Installation

pip install boofuzz

Boofuzz installs as a Python library used to build fuzzer scripts. See INSTALL.rst for advanced and detailed instructions.

Documentation

Documentation is available at http://boofuzz.readthedocs.io/, including nifty quickstart guides.

Contributions

Pull requests are welcome, as boofuzz is actively maintained (at the time of this writing ;)). See CONTRIBUTING.rst.

Community

For questions that take the form of “How do I… with boofuzz?” or “I got this error with boofuzz, why?”, consider posting your question on Stack Overflow. Make sure to use the fuzzing tag.

If you’ve found a bug, or have an idea/suggestion/request, file an issue here on GitHub.

For other questions, check out boofuzz on gitter or Google Groups.

For updates, follow @b00fuzz on Twitter.

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A fork and successor of the Sulley Fuzzing Framework

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