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OSS-Sydr-Fuzz: Hybrid Fuzzing for Open Source Software

This repository is a fork of OSS-Fuzz project. OSS-Sydr-Fuzz contains open source software targets for sydr-fuzz that combines fuzzing (libFuzzer, AFL++) with the power of dynamic symbolic execution (Sydr).

Project Structure

Each open source target project provides:

  • Fuzz target for libFuzzer
  • Fuzz target for AFL++
  • Fuzz target for Sydr
  • Target built with llvm-cov
  • Build script
  • Dictionary
  • Initial seed corpus
  • Dockerfile that installs dependencies, builds targets, creates initial corpus, etc.
  • Hybrid fuzzing configuration file for sydr-fuzz
  • Instructions to start hybrid fuzzing

NOTE: Some listed above files may not be present or can be gathered from external repositories.

Supported Open Source Projects

Supported projects are located here.

Contributing

Feel free to support new fuzz targets. The workflow is following:

  1. Compose targets for libFuzzer and Sydr.
  2. Prepare build script.
  3. Build Dockerfile with all targets.
  4. Provide sydr-fuzz configuration files.
  5. Write README with commands to run fuzzing.

Trophies

The list of discovered bugs can be found here.

Cite Us

Sydr: Cutting Edge Dynamic Symbolic Execution [paper] [video] [slides]

Vishnyakov A., Fedotov A., Kuts D., Novikov A., Parygina D., Kobrin E., Logunova V., Belecky P., Kurmangaleev Sh. Sydr: Cutting Edge Dynamic Symbolic Execution. 2020 Ivannikov ISPRAS Open Conference (ISPRAS), IEEE, 2020, pp. 46-54. DOI: 10.1109/ISPRAS51486.2020.00014

@inproceedings{vishnyakov20,
  title = {Sydr: Cutting Edge Dynamic Symbolic Execution},
  author = {Vishnyakov, Alexey and Fedotov, Andrey and Kuts, Daniil and Novikov,
            Alexander and Parygina, Darya and Kobrin, Eli and Logunova, Vlada
            and Belecky, Pavel and Kurmangaleev, Shamil},
  booktitle = {2020 Ivannikov ISPRAS Open Conference (ISPRAS)},
  pages = {46--54},
  year = {2020},
  publisher = {IEEE},
  doi = {10.1109/ISPRAS51486.2020.00014},
}

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OSS-Sydr-Fuzz - OSS-Fuzz fork for hybrid fuzzing (fuzzer+DSE) open source software.

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  • C 68.1%
  • Shell 16.8%
  • C++ 9.2%
  • Dockerfile 4.5%
  • Rust 1.0%
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