Fuzze.rs vs Self-hosted AFL++
AFL++ is free and excellent. Operating it at scale, with crash dedup and triage, is the work.
AFL++ itself is free — the cost is everything around it.
A serious AFL++ programme needs a fuzz-job scheduler, crash deduplication, coverage tracking, persistent corpora, and triage workflow.
Fuzze.rs is the same AFL++ binaries with all of that operationalised for you.
Side-by-side
| Feature | Fuzze.rs | Self-hosted AFL++ | Edge |
|---|---|---|---|
| AFL++ binary | Latest stable, pre-built | Free download, you build it | |
| Scheduling / parallelism | Managed job queue per compute tier | tmux + cron + your own scripts | |
| Crash deduplication | Built-in, stack-trace-based | afl-tmin + your own pipeline | |
| Coverage tracking | Continuous, dashboard graphs | afl-cov, you run it | |
| Persistent corpus | Stored, deduplicated across jobs | Your responsibility — disk, S3, etc. | |
| Multi-engine (Power) | Run AFL++ + libFuzzer + Honggfuzz parallel | You wire each engine yourself | |
| REST API for CI/CD | First-class | DIY | |
| Total cost at 16 cores | $349/mo flat | ~$200/mo VM + engineer time | |
| Direct fuzzer access | Via API; no shell to fuzzer host | Full shell on your own host |
Pick Fuzze.rs when
- You're already running afl-fuzz on a screen session and the corpus is on someone's laptop — formalise it.
- You need crash deduplication and coverage trend graphs without writing them yourself.
- You want continuous fuzzing in CI without your team running a long-lived fuzzing host.
- You want Power Fuzzing (running multiple engines against the same target) without writing the orchestration.
Pick Self-hosted AFL++ when
- You're a researcher running short, ad-hoc fuzzing experiments on a single laptop — overhead beats value.
- Your security posture requires every fuzzer instance to live inside your own infrastructure.
- You're tuning AFL++ at the source level and need direct access to the fuzzer binary.
FAQ
Will my AFL++ harness work on Fuzze.rs?
Yes. We run upstream AFL++. Your harness builds the same way — supply a Dockerfile, point it at your seed corpus, and the same instrumentation works.
Can I switch between AFL++ and libFuzzer mid-campaign?
Yes — Power Fuzzing runs both (and Centipede / Honggfuzz) against the same target in parallel, sharing the corpus.
Do I lose any AFL++ features by using the managed version?
No — we expose all of AFL++'s standard options. Specialised mutators and custom instrumentation work the same way.
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