Can I use this for closed-source projects?

While the public OSS-Fuzz service is for open-source software, the infrastructure is open-source itself, allowing you to host a private instance for internal projects.

How does OSS-Fuzz help with security audits?

It automates the discovery of complex memory corruption bugs and logic errors that are often missed during manual code reviews or standard unit testing.

OSS-Fuzz is a Google-led initiative that provides free, continuous fuzzing for open-source projects to discover security vulnerabilities and stability issues.

Which programming languages are supported?

OSS-Fuzz primarily supports C, C++, Rust, Go, Python, and Java, providing language-specific base images for each.

How do I test an OSS-Fuzz harness locally?

You can use the helper.py script included in the OSS-Fuzz repository to build the project image, compile the fuzzers with sanitizers, and execute specific harnesses.

OSS-Fuzz Integration

Name: OSS-Fuzz Integration
Author: trailofbits

bytrailofbits

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939

Seguridad y Pruebas

Integrates OSS-Fuzz continuous fuzzing infrastructure into open-source projects for automated vulnerability detection and security auditing.

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The OSS-Fuzz skill enables developers and security researchers to leverage Google's distributed fuzzing infrastructure for continuous security testing. It provides standardized patterns for building fuzzer images, running harnesses locally with sanitizers like ASan, and enrolling new projects into the OSS-Fuzz ecosystem. By automating the discovery of memory safety issues and edge-case bugs, this skill helps maintain high security standards for open-source software through distributed execution and coverage-guided analysis.

Características Principales

939 GitHub stars
Standardized templates for project enrollment (project.yaml, Dockerfile, build.sh)
Guidance for reproducing crashes from OSS-Fuzz bug reports locally
Comprehensive coverage analysis and report generation tools
Support for multiple sanitizers including AddressSanitizer and LeakSanitizer
Automated local building of fuzzer images and harnesses via helper.py

Casos de Uso

Enrolling a new open-source library into the OSS-Fuzz continuous testing pipeline
Reproducing and debugging security vulnerabilities found by distributed fuzzers
Analyzing code coverage to identify and target untested execution paths

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Características Principales

939 GitHub stars
Standardized templates for project enrollment (project.yaml, Dockerfile, build.sh)
Guidance for reproducing crashes from OSS-Fuzz bug reports locally
Comprehensive coverage analysis and report generation tools
Support for multiple sanitizers including AddressSanitizer and LeakSanitizer
Automated local building of fuzzer images and harnesses via helper.py

Casos de Uso

Enrolling a new open-source library into the OSS-Fuzz continuous testing pipeline
Reproducing and debugging security vulnerabilities found by distributed fuzzers
Analyzing code coverage to identify and target untested execution paths