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My little fuzzing framework inspired by grinder
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communication restructered the servers and introduced a parent class Oct 23, 2016
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model
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results redesigned the reducingworker to adapt to the new debugging approach Jan 5, 2016
web finished the implemenation of the new web if Oct 27, 2016
worker finished the implemenation of the new web if Oct 27, 2016
.gitignore html template lost Jul 19, 2015
__init__.py reorganized the folders Jul 10, 2015
changelog.rst
pyfuzz2_server.py Update pyfuzz2_server.py Oct 30, 2016
readme.rst Update readme.rst Oct 30, 2016
server_config.xml

readme.rst

PyFuzz2

This toolset is a fuzzing framework, you can use it to fuzz-test software on multiple machines. It consists of a client and a server component. The clients are able to run in network and single mode. The main difference is in network mode you can use the servers web frontend to change the config of your clients and all crashes are send to the server and collected by image name (but there is much to do in order to make the whole web frontend more functional).

I used these tools to fuzz browsers and I got multiple crashes on the major ones (chrome, iexplore, firefox), but nothing security relevant. My fuzzer for browsers is included in the client part. The reducer for javascript parts is also included. A css and html reducer is on the todo list. There is also a real dump bytemutation fuzzer included.

You can easily add your own fuzzer, all you have to do is inherit from fuzzing.fuzzer and implement all the necessary methods. After this you add your fuzzer to the dictionary in fuzzing.fuzzers. Now you can use your own fuzzer.

For the client you need the following modules and software installed:

The server needs the following modules:

  • Gevent
  • Flask
  • Flask-Table

Both software parts are configured via xml files. The config-files show some possible values and examples of how to config the client/server.

You should never use this software in open networks (e.g. internet) there are no checks implemented to identify corrupted data and no login is required to access the web-frontend!

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