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EvoMaster vs Fuzzilli

EvoMaster

github.com

Fuzzilli

github.com

Side by side

FigureEvoMasterFuzzilli
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYes—
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published11
Spec score · Fuzz Testing Software8.3 (#8)8.4 (#6)
PurposeEvoMaster automatically generates system-level tests through fuzzing for web and enterprise applications.Fuzzilli is a coverage-guided fuzzer for dynamic language interpreters that mutates programs in FuzzIL and translates them to JavaScript.

Plans

EvoMaster

  • EvoMasterFree

EvoMaster pricing →

Fuzzilli

  • FuzzilliFree

Fuzzilli pricing →

In their own words

EvoMaster

EvoMaster is a free, open-source tool that uses fuzzing to generate system-level tests for web and enterprise applications. It targets REST, GraphQL, and RPC APIs, including gRPC and Thrift. Black-box mode works with APIs in any programming language, while white-box mode analyzes JVM bytecode. Generated tests can be JUnit 4 or 5 in Java or Kotlin, or suites in Python or JavaScript. More than 30 oracles check issues including HTTP 500 responses, schema mismatches, BOLA, and SQL injection. White-box testing can analyze SQL and MongoDB interactions with PostgreSQL, MySQL, H2, and MongoDB support. Authentication accepts headers and cookies, including tokens or cookies obtained from a login endpoint. REST testing requires OpenAPI 2.0, 3.0, or 3.1. PyPI is the recommended installation route, with Docker and an uber-fat JAR also available. EvoMaster runs on Linux, macOS, Windows, and self-hosted environments, and integrates with GitHub Actions through a custom action.

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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.

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