Skip to main content

A fuzzing framework for SMT solvers

Project description

portfolio_view


yinyang

A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang can be used to robustify SMT solvers. It already found 1,500+ bugs in the two state-of-the-art SMT solvers Z3 and CVC4.

Installation

To install a stable version of yinyang use:

pip3 install yinyang

To install the most recent version, check out the repository:

git clone https://github.com/testsmt/yinyang.git                        
pip3 install antlr4-python3-runtime==4.9.2                                   

Note that you may want to add yinyang/bin to your PATH, for running yinyang conveniently without prefix.

Usage

  1. Get SMT-LIB 2 benchmarks. Edit scripts/SMT-LIB-clone.sh to select the logics for testing. Run ./scripts/SMT-LIB-clone.sh to download the corresponding SMT-LIB 2 benchmarks. Alternatively, you can download benchmarks directly from the SMT-LIB website or supply your own benchmarks.

  2. Get and build SMT solvers for testing. Install two or more SMT solvers that support the SMT-LIB 2 format. You may find it convenient to add them to your PATH.

  3. Run yinyang on the benchmarks e.g. with Z3 and CVC4.

typefuzz "z3 model_validate=true;cvc4 --check-models -m -i -q" benchmarks 

yinyang will by default randomly select formulas from the folder ./benchmarks and generate 300 mutants per seed formula. If a bug has been found, the bug trigger is stored in ./bugs. yinyang will run in an infinite loop. You can use the shortcut CTRL+C to terminate yinyang manually.

📘 Documentation

Feedback

For bugs/issues/questions/feature requests please file an issue. We are always happy to receive your feedback or help you adjust yinyang to the needs of your custom solver, help you build on yinyang, etc.

📬 Contact us

Additional Resources

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yinyang-0.1.0.tar.gz (104.2 kB view details)

Uploaded Source

Built Distribution

yinyang-0.1.0-py3-none-any.whl (140.1 kB view details)

Uploaded Python 3

File details

Details for the file yinyang-0.1.0.tar.gz.

File metadata

  • Download URL: yinyang-0.1.0.tar.gz
  • Upload date:
  • Size: 104.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.9

File hashes

Hashes for yinyang-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8154cad950f7f9491ee07a8a66831c39f75f27c33ce30ee1e8c5c435575dde9b
MD5 caced8b39ac5f6491acb28409d36a675
BLAKE2b-256 a2837bde52177ccba8ba4a2123a279f79bb2e2cb76ae674fc98dce3196d8eaf3

See more details on using hashes here.

File details

Details for the file yinyang-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: yinyang-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 140.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.9

File hashes

Hashes for yinyang-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e8892b949f6efea37c8238f503a58c8618c3f9ef7d1a97e6cc0d1f51b5d08337
MD5 59cd17fc0c7b9558044eac5cdf1100ff
BLAKE2b-256 1da4d6cf834e5fe834215410e80b61b3efe74b6169f22f9d8c75183ef63e7472

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page