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Fuzzing for CVE Research

Fuzzing for CVE Research and Bounty Hunting

Bug bounty pays in CVEs. CVEs pay best when you find them faster than the next person. Fuzze.rs gives you serious compute without standing up your own cluster.

If your day job is finding CVEs in widely-deployed open-source software, your time is better spent writing harnesses than babysitting fuzzer hosts. Fuzze.rs gives you serious dedicated compute, persistent corpora across runs, and a private dashboard where your in-progress findings stay your own.

The platform is designed for the workflow CVE hunters actually run: write a harness against the latest commit, fire it at 16-240+ cores, come back when the dashboard shows a crash, minimise the reproducer, and disclose on your own schedule.

Why it matters

Private until you disclose

Your crashes are yours. We don't publish, sell, or expose them. Disclose when you're ready, not when a public tracker dictates.

240+ cores when you need them

Enterprise plans give you the same compute scale that public clusters use. Outpace the next researcher in the same target.

Persistent corpora

Coverage compounds across runs. The corpus from your first target attempt is the starting point for the next version's release.

Multi-engine Power Fuzzing

Diversify mutators in a single campaign. AFL++, libFuzzer, Honggfuzz, and Centipede running against the same target widen the surface fast.

Workflow

  1. 1

    Pick a target

    Anything from `apt source` to a GitHub release tag. Bring the source, we bring the cores.

  2. 2

    Write a harness

    libFuzzer-style entry point is the default; AFL++ persistent mode for trickier targets.

  3. 3

    Build in a Dockerfile

    Pin your toolchain, sanitizers, and target version. Reproducibility matters when you're disclosing.

  4. 4

    Fire a long campaign

    12, 24, 72 hours. Coverage and crashes stream live; pause and resume as needed.

  5. 5

    Triage in private

    Stack-trace dedup, minimised reproducers, sanitizer output. All private to your account.

  6. 6

    Disclose on your schedule

    Coordinate with the upstream maintainer or programme. Nothing leaks unless you publish it.

Fuzzers we’d pick

  • AFL++ — the default for binary-format and stateful targets.
  • libFuzzer — fastest iteration for in-process API fuzzing.
  • Honggfuzz — strong on signal-handler-based persistent fuzzing.
  • Power Fuzzing — run all four in parallel on the same harness for maximum coverage diversity.
Start your CVE research campaign →

First month 50% off. Cancel anytime.