Fuddly: Fuzzing And Data Manipulation Framework
Fuddly: Fuzzing And Data Manipulation Framework
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 disruptors (objects that implement specific data transformation)
- Virtual operator abstraction
What's still missing
- Documentation
- refer to TODO file
Miscellaneous
Don't forget to populate ./imported_data/ with sample files for data models that need it.
Dependencies
- Compatible with Python2 and Python3
- Mandatory: six: Python 2/3 compatibility
- Optional: xtermcolor: terminal color support
- cups: Python bindings for libcups
- rpyc: Remote Python Call (RPyC), a transparent and symmetric RPC library
