FuzzForge vs Fuzzilli
FuzzForge
fuzzforge.aiFuzzilli
github.comSide by side
| Figure | FuzzForge | Fuzzilli |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Fuzz Testing Software | 7.5 (#14) | 8.4 (#6) |
| Deployment | Deployment options include hosted SaaS, a dedicated instance in the customer’s cloud tenancy, Kubernetes on-premise, and air-gapped deployment. | The project says Fuzzilli and supported engines can be built and run inside Docker and on Google Compute Engine. |
| Purpose | FuzzForge runs fuzzing, emulation and reverse engineering campaigns for embedded and connected product security testing. | Fuzzilli is a coverage-guided fuzzer for dynamic language interpreters that mutates programs in FuzzIL and translates them to JavaScript. |
| What it does | FuzzForge runs fuzzing, emulation and reverse engineering campaigns for embedded and connected products. | Fuzzilli is a coverage-guided fuzzer for dynamic language interpreters, built around a custom intermediate language called FuzzIL that can be mutated and translated to JavaScript. |
Plans
In their own words
Fuzzilli
Fuzzilli is a free, open-source, coverage-guided fuzzer for dynamic language interpreters. It represents test programs in FuzzIL, mutates them, and translates them to JavaScript for execution. Its mutators can change data flow or operation parameters, generate or splice code, and combine corpus programs. Components include a mutation fuzzer, script runner, corpus, environment, minimizer, evaluator, and lifter. A target engine runs repeated scripts in a read-eval-print-reset loop, resetting between cases; multiple instances can synchronize within a process or across machines over TCP. Listed target directories include JavaScriptCore, JerryScript, QuickJS, QtJS, Serenity, SpiderMonkey, V8, XS, Duktape, and njs. Setup requires compiling a supported engine with coverage instrumentation using clang 4.0 or later, then building Fuzzilli with Swift Package Manager. Docker and Google Compute Engine tooling are provided. The project supports Linux, macOS, and self-hosted use and identifies its license as Apache-2.0. Its repository says it is not an officially supported Google product. Contributions require a Contributor License Agreement and are reviewed through GitHub pull requests.