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Tools/GitHubGitHub/google/clusterfuzz
Dynamic Analysis (Sandboxing)Vulnerability AnalysisFuzzingDevSecOpsTop in Fuzzing #5
GitHubgoogle/clusterfuzz

clusterfuzz

Scalable fuzzing infrastructure with coverage-guided engines (libFuzzer, AFL, Honggfuzz), automated crash deduplication, bug filing, and regression bisection for finding security and stability issues.

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5.6k624132h 10m agoReviewed by Kitploit

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ClusterFuzz

OpenSSF Scorecard

ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software.

Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz.

ClusterFuzz provides many features which help seamlessly integrate fuzzing into a software project's development process:

  • Highly scalable. Can run on any size cluster (e.g. OSS-Fuzz instance runs on 100,000 VMs).
  • Accurate deduplication of crashes.
  • Fully automatic bug filing, triage and closing for various issue trackers (e.g. Monorail, Jira).
  • Supports multiple coverage guided fuzzing engines (libFuzzer, AFL, AFL++ and Honggfuzz) for optimal results (with ensemble fuzzing and fuzzing strategies).
  • Support for blackbox fuzzing.
  • Testcase minimization.
  • Regression finding through bisection.
  • Statistics for analyzing fuzzer performance, and crash rates.
  • Easy to use web interface for management and viewing crashes.
  • Support for various authentication providers using Firebase.

Overview

Documentation

You can find detailed documentation here.

Trophies

As of February 2023, ClusterFuzz has found ~27,000 bugs in Google (e.g. Chrome). Additionally, ClusterFuzz has helped identify and fix over 8,900 vulnerabilities and 28,000 bugs across 850 projects integrated with OSS-Fuzz.

Getting Help

You can file an issue to ask questions, request features, or ask for help.

Staying Up to Date

We will use clusterfuzz-announce(#)googlegroups.com to make announcements about ClusterFuzz.

ClusterFuzzLite

For a more lightweight version of ClusterFuzz that runs on CI/CD systems, check out ClusterFuzzLite.

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