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Fuddly

Fuzzing and Data Manipulation Framework (for GNU/Linux)

Install / Use

/learn @k0retux/Fuddly
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

fuddly: a fuzzing and data manipulation framework

|docs|

.. |docs| image:: https://readthedocs.org/projects/fuddly/badge/?version=develop :target: https://readthedocs.org/projects/fuddly/?badge=develop :alt: Documentation

List of features

  • Graph-based data model that enables:

    • to represent complex data formats and also to mix them
    • complex data manipulations
    • to dissect/absorb existing data
    • generation & mutation fuzzing strategy
  • Fuzzing automation framework:

    • target abstraction
    • monitoring means based on independant probes
    • replay & logging
    • data manipulation based on operators (objects that implement specific data transformation)
    • scenario infrastructure (for modeling protocol logic)
    • virtual directors
  • and so on...

What's still missing

  • Refer to TODO file

About the Documentation

  • The documentation is available here_.

  • In order to generate the documentation from the source, follow these steps:

    #. go to the folder docs/ #. execute make html to generate HTML documentation #. execute make latexpdf to generate PDF documentation #. generated documentation is located in docs/build/

.. _here: http://fuddly.readthedocs.io

Basic Installation Instructions

Installation with pipenv::

$ cd <path_to_fuddly>
$ pipenv install   # or pipenv sync (if you want to match exactly the environment
                   # described in fuddly Pipfile.lock)
$ pipenv shell

Refer to the documentation for more information

Launch fuddly shell

  • If fuddly is installed either through pip/pipenv or a package from your distribution::

    $ fuddly shell

  • If fuddly is not installed::

    $ python -m fuddly.cli shell

Launch fuddly Test Cases

The package test include all unit & integration test cases of fuddly itself. From the src/ directory, usage is as follows:

  • To launch all the tests, issue the command::

    $ python -m fuddly.test -a

  • To launch all the tests but the longer ones, issue the command::

    $ python -m fuddly.test

  • To avoid data model specific test cases use the option --ignore-dm-specifics

  • To launch a specific test category issue the following command::

    $ python -m fuddly.test fuddly.test.<test_package>.<test_module>.<Test_Class>.<test_method>

Related Skills

View on GitHub
GitHub Stars163
CategoryDevelopment
Updated5d ago
Forks45

Languages

Python

Security Score

100/100

Audited on Mar 25, 2026

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