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cargo-fuzz vs EvoMaster

cargo-fuzz

github.com

EvoMaster

github.com

Side by side

Figurecargo-fuzzEvoMaster
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Fuzz Testing Software8.5 (#5)8.3 (#8)
InstallationThe documented installation command is cargo install cargo-fuzz.The recommended install method is PyPI; the project also provides an uber-fat JAR and Docker distribution.
Purposecargo-fuzz is a cargo subcommand for fuzzing with libFuzzer.EvoMaster automatically generates system-level tests through fuzzing for web and enterprise applications.

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cargo-fuzz

  • cargo-fuzzFree

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EvoMaster

  • EvoMasterFree

EvoMaster pricing →

In their own words

cargo-fuzz

cargo-fuzz is a Cargo subcommand for fuzzing Rust code. It invokes libFuzzer through the libfuzzer-sys crate rather than acting as a fuzzer itself. Start a crate with `cargo fuzz init`, add a target with `cargo fuzz add `, then use `cargo fuzz run ` to search for bugs. The tool can reduce a failing input with `cargo fuzz tmin` or trim a corpus with `cargo fuzz cmin`; `cargo fuzz coverage` generates source-based coverage information in version 0.10.0 or newer. Documentation also covers structure-aware fuzzing and Cargo feature options, plus a GitHub Actions workflow for building and running targets in CI. It supports Linux, macOS and Windows, with documented systems including x86-64 Linux, x86-64 and Apple-Silicon macOS, and Windows with LLVM sanitizer support. Windows programs can also be fuzzed with MSVC AddressSanitizer. Installation is documented as `cargo install cargo-fuzz`. It requires nightly Rust and a C++11-capable compiler. The project is free and distributed under the MIT and Apache License 2.0.

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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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