cargo-fuzz vs Netzob
cargo-fuzz
github.comNetzob
netzob.orgSide by side
| Figure | cargo-fuzz | Netzob |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Fuzz Testing Software | 8.5 (#5) | 7.5 (#15) |
| Platforms | The 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. |
| Purpose | cargo-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
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.
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.