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Netzob
What it is
Netzob is a free, open-source tool for reverse engineering communication protocols, generating traffic, and fuzzing. It can infer message formats and protocol state machines through passive or active processes. Vocabulary inference learns formats from supplied traces, while grammar inference supports semi-automatic state-machine learning. Using those models, its simulator can operate as a client, server, or both to produce communication traffic. The fuzzing module creates optimized test cases through mutation or generation. Inputs can include live traffic, PCAP captures, IPC, text and binary files, and API flows through supported formats. Netzob exports XML, human-readable formats, and Peach fuzzer output, and users can create exporters. It runs locally on Linux and Windows, supports Python 3, and is licensed under GPLv3. The listed latest stable release is 0.4.1, with source and Debian packages dated February 2, 2013.
For and against
For
- Infers vocabulary and protocol state machines
- Simulates client, server, or both
- Supports mutation and generation fuzzing
- Accepts traffic, PCAP, IPC, and file inputs
- Exports XML, human-readable, and Peach formats
Against
- Latest stable release listed from February 2, 2013
- Runs on Linux and Windows only
- Community support uses mailing lists and IRC
The verdict
Netzob combines protocol inference, traffic simulation, and fuzzing in a free local tool. Its older listed release date is important when considering current project maintenance.
Who it suits
Netzob suits security evaluators creating fuzzers for proprietary or undocumented protocols. It also fits users working with the listed protocol, file, IPC, driver, or device targets locally.
Plans and prices
Netzob
Open source · GNU GPLv3
Read 7 Oct 2026 · netzob.org
On the record
- Exports
- The overview lists XML, human-readable, and Peach fuzzer export formats, and says users can write their own exporter.netzob.org · read 7 Oct 2026
- Fuzzing
- The fuzzing module uses protocol vocabulary and grammar to generate optimized test cases, with both mutation and generation available.netzob.org · read 7 Oct 2026
- Grammar inference
- Netzob supports semi-automatic learning of a protocol's state machine using specific algorithms.netzob.org · read 7 Oct 2026
- Input formats
- The overview lists live network traffic, PCAP captures, IPC, text and binary files, and API flows through supported file formats as input sources.netzob.org · read 7 Oct 2026
- Integrations
- The site describes export work compatible with Wireshark, Scapy, Peach, and Sulley, and the stable release changelog lists automatic Wireshark dissector and Peach fuzzer generation.netzob.org · read 7 Oct 2026
- Intended users
- The overview describes Netzob as helping security evaluators create fuzzers for proprietary or undocumented protocols.netzob.org · read 7 Oct 2026
- License
- The site identifies Netzob as licensed under GPLv3.netzob.org · read 7 Oct 2026
- Maintenance status
- The download page identifies version 0.4.1 as the latest stable release and dates its listed source and Debian packages to February 2, 2013.netzob.org · read 7 Oct 2026
- Project origin
- The overview says Netzob was initiated by security auditors at AMOSSYS and the CIDre research team of Supélec to address communication protocol reverse engineering.netzob.org · read 7 Oct 2026
- Protocol inference
- It can infer message formats and protocol state machines through passive and active processes.netzob.org · read 7 Oct 2026
- Purpose
- Netzob is an open source tool for reverse engineering, traffic generation, and fuzzing of communication protocols.netzob.org · read 7 Oct 2026
- Support
- The community page directs users to public announce and user mailing lists and an IRC channel for community support.netzob.org · read 7 Oct 2026
- Traffic simulation
- Given inferred vocabulary and grammar models, the simulator can act as a client, server, or both to generate communication traffic.netzob.org · read 7 Oct 2026
- Vocabulary inference
- Its vocabulary inference learns message formats from supplied traces using specific algorithms.netzob.org · read 7 Oct 2026
