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cargo-fuzz vs Netzob

cargo-fuzz

github.com

Netzob

netzob.org

Side by side

Figurecargo-fuzzNetzob
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYes—
LinuxYesYes
Plans published11
Spec score · Fuzz Testing Software8.5 (#5)7.5 (#15)
PlatformsThe setup documentation lists x86-64 Linux, x86-64 macOS, Apple-Silicon macOS, and Windows support.The download page lists Debian-like packages, a Gentoo ebuild, an Arch Linux AUR package, and a Windows installer.
Purposecargo-fuzz is a cargo subcommand for fuzzing with libFuzzer.Netzob is an open source tool for reverse engineering, traffic generation, and fuzzing of communication protocols.

Plans

cargo-fuzz

  • cargo-fuzzFree

cargo-fuzz pricing →

Netzob

  • NetzobFree

Netzob 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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Netzob

Netzob is a free, GPLv3-licensed open-source tool for reverse engineering, traffic generation, and fuzzing of communication protocols. It infers message formats and protocol state machines through passive and active processes. Vocabulary inference learns formats from supplied traces, while grammar inference supports semi-automatic state-machine learning. With those models, its simulator can act as a client, server, or both to generate traffic. The fuzzing module creates optimized test cases by mutation or generation. Inputs can include live network traffic, PCAP captures, IPC, text and binary files, and API flows through supported formats. Exports include XML, human-readable output, and Peach fuzzer formats, with custom exporters possible. Netzob runs locally on Linux and Windows and supports Python 3. It targets network protocols, structured files, text protocols, drivers, devices, and other listed target types. Version 0.4.1 is listed as the latest stable release, with packages dated February 2, 2013.

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