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The java-example project does not pull in any external dependencies, but rather consists of three basic Java fuzzers that hit a synthetic bug after a few seconds. The project can be used to verify that ClusterFuzz correctly handles JVM fuzz targets. * ExampleFuzzer fails with an assertion. * ExampleValueProfileFuzzer fails with an exception after a few seconds, but only if running in value profile mode. * ExampleFuzzerNative fails with an ASan report. |
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README.md |
README.md
OSS-Fuzz: Continuous Fuzzing for Open Source Software
Fuzz testing is a well-known technique for uncovering programming errors in software. Many of these detectable errors, like buffer overflow, can have serious security implications. Google has found thousands of security vulnerabilities and stability bugs by deploying guided in-process fuzzing of Chrome components, and we now want to share that service with the open source community.
In cooperation with the Core Infrastructure Initiative and the OpenSSF, OSS-Fuzz aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution.
We support the libFuzzer, AFL++, and Honggfuzz fuzzing engines in combination with Sanitizers, as well as ClusterFuzz, a distributed fuzzer execution environment and reporting tool.
Currently, OSS-Fuzz supports C/C++, Rust, Go and Python code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.
Overview
Documentation
Read our detailed documentation to learn how to use OSS-Fuzz.
Trophies
As of January 2021, OSS-Fuzz has found over 25,000 bugs in 375 open source projects.
Blog posts
- 2016-12-01 - Announcing OSS-Fuzz: Continuous fuzzing for open source software
- 2017-05-08 - OSS-Fuzz: Five months later, and rewarding projects
- 2018-11-06 - A New Chapter for OSS-Fuzz
- 2020-10-09 - Fuzzing internships for Open Source Software
- 2020-12-07 - Improving open source security during the Google summer internship program