aeondave/oss-fuzz
offensive-tools/fuzzing/oss-fuzz/SKILL.md
Auth/lab ref: Google-hosted continuous fuzzing service for open-source projects. For long-running, scalable fuzz campaigns, sanitizer-backed triage, and continuous bug reporting with reproducible local workflows.
$ install --global
skillsauthnpx skillsauth add aeondave/malskill oss-fuzzInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 8, 2026, 3:51 AM164.2s1 file scanned
SKILL.md
- name:
- oss-fuzz
- description:
- Auth/lab ref: Google-hosted continuous fuzzing service for open-source projects. For long-running, scalable fuzz campaigns, sanitizer-backed triage, and continuous bug reporting with reproducible local workflows.
- license:
- Apache-2.0
- compatibility:
- Service model for eligible OSS projects; local workflows via oss-fuzz repo + ClusterFuzz variants.
- author:
- GitHub Copilot
- version:
- 1.1
oss-fuzz
Continuous fuzzing platform that runs supported engines (libFuzzer, AFL++, Honggfuzz, Centipede) at scale.
When to Use
- You maintain an open-source project and need persistent fuzz coverage.
- You want automated sanitizer-based crash reporting and regression tracking.
- You need multi-language support beyond ad-hoc local campaigns.
Core Flow
- Add project integration config to OSS-Fuzz repo.
- Define build/fuzz targets and seed corpora.
- Validate locally with OSS-Fuzz tooling.
- Submit and monitor issue stream.
Local Validation Flow
python3 infra/helper.py build_image <project>
python3 infra/helper.py build_fuzzers --sanitizer address <project>
python3 infra/helper.py check_build <project>
python3 infra/helper.py run_fuzzer --corpus-dir=<tmp-corpus> <project> <fuzz_target>
Run additional sanitizer/engine combinations when integration quality is uncertain.
Reproduction Flow (Bug Fix Loop)
python3 infra/helper.py reproduce <project> <fuzz_target> <testcase_path>
If the bug is not reproducible immediately:
- pull latest images,
- match sanitizer and architecture from report,
- retry with exact target binary and runtime flags.
Practical Tricks
- Keep seed corpus and dictionaries small but meaningful; large noisy corpora can slow signal.
- Prefer statically linked fuzz binaries in build scripts for runtime compatibility.
- Use Fuzz Introspector reports to detect low-reach fuzz targets and prioritize harness work.
Common Pitfalls
- Skipping local
check_buildbefore PR submission. - Treating one sanitizer pass as complete validation.
- Ignoring architecture-specific issues (some findings reproduce only on
i386orx86_64).
Notes
- Best for continuous defect discovery, not one-off local triage.
- For closed-source/internal projects, use ClusterFuzz/ClusterFuzzLite style alternatives.
- Build artifacts copied to
$OUTshould remain reasonably small to avoid slow transfer/unzip cycles.
Resources
- https://google.github.io/oss-fuzz/
- https://github.com/google/oss-fuzz
- https://google.github.io/oss-fuzz/getting-started/new-project-guide/
- https://google.github.io/oss-fuzz/advanced-topics/reproducing/
- https://google.github.io/clusterfuzzlite/
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