LibFuzzer Integrations

The Fuzzbuzz testing workflow is very similar with other CI/CD test workflows. Fuzz testing is different from other testing workflows in that it requires multiple jobs to be run simultaneously. This results in some extra steps. Fuzzbuzz provides a fuzz-testing platform. We make it easy for developers to add fuzz testing to their code, and run them within CI/CD. This helps them find critical bugs and vulnerabilities prior to production. Fuzzbuzz integrates seamlessly into your environment. It follows you from the terminal through to CI/CD. Use your own terminal, IDE, or build tool to write a fuzztest in your environment. Fuzzbuzz will run your fuzz tests automatically against your latest code changes when you push to CI/CD. You can be notified via Slack, GitHub or email when bugs are discovered. Regressions are caught as new changes and previous runs are automatically compared. Fuzzbuzz builds and instruments code as soon as changes are detected.

Jazzer is an in-process, coverage-guided fuzzer developed by Code Intelligence for the JVM platform. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM. Docker can be used to test Jazzer's autofuzz, which generates arguments for a Java function and reports unexpected errors and detected security issues. You can also run a standalone Jazzer binaries that starts its JVM configured for fuzzling using GitHub release archives.

ClusterFuzz provides a scalable fuzzing system that can be used to find security and stability issues within software. Google uses ClusterFuzz as the fuzzing engine for OSS Fuzz and to fuzz all Google Products. ClusterFuzz offers many features that allow fuzzing to be seamlessly integrated into the software development process. Fully automatic bug filing and triage for different issue trackers. Supports multiple coverages-guided fuzzing engines to achieve optimal results (with ensemble fuzzing and fuzzing strategy). Statistics to analyze fuzzer performance and crash rates. Web interface for managing and viewing crashes. Support for multiple authentication providers using Firebase. Support for black-box fuzzing, test case minimization and regression finding using bisection.

Atheris is an engine for Python fuzzing that uses coverage-guided fuzzing. It supports fuzzing Python code as well as native extensions written in CPython. Atheris is based off libFuzzer. Atheris is a tool that can be used for fuzzing native code to find additional bugs. Atheris supports Linux 32- and 64-bit and Mac OS X with Python versions 3.6-3.10. It comes with an integrated libFuzzer that is suitable for fuzzing Python code. If you want to fuzz native extensions you may have to build Atheris from source in order to match the libFuzzer versions. Atheris relies upon libFuzzer which is distributed along with Clang. Apple Clang does not come with libFuzzer. You'll have to install a different version of LLVM. Atheris is based upon a coverage-guided, mutation-based fuzzer called LibFuzzer. This has the benefit of not requiring a grammar definition to generate inputs. It makes its setup easier. The disadvantage is that the fuzzer will have a harder time generating inputs for complex data types.

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ClusterFuzz provides a scalable fuzzing system that can be used to find security and stability issues within software. Google uses ClusterFuzz as the fuzzing engine for OSS Fuzz and to fuzz all Google Products. ClusterFuzz offers many features that allow fuzzing to be seamlessly integrated into the software development process. Fully automatic bug filing and triage for different issue trackers. Supports multiple coverages-guided fuzzing engines to achieve optimal results (with ensemble fuzzing and fuzzing strategy). Statistics to analyze fuzzer performance and crash rates. Web interface for managing and viewing crashes. Support for multiple authentication providers using Firebase. Support for black-box fuzzing, test case minimization and regression finding using bisection.

C, a programming language that was created in 1972, is still very popular and widely used today. C is a general-purpose imperative and procedural language. The C language is used to create a variety of software and applications. This includes operating systems, code compilers, databases, and many more.