# Netzob

> Model communication protocols and infer message layouts from traces, with configured active learning for protocol state machines. Python APIs expose message fields, symbols and automata for parsing, traffic generation and fuzzing.

- Type: Tool
- Targets: Protocol
- Category: Protocol analysis tools
- Relationship: Foundation tool
- Sources reviewed: 2026-10-17
- Added to the catalog: 2026-10-17
- Original resource: <https://github.com/netzob/netzob>
- Primary source: <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/README.rst>
- Catalog page: <https://awesomerea.org/resources/netzob/>
- Record JSON: <https://awesomerea.org/resources/netzob/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/resources/netzob/index.md)

## Requirements & limits

- The upstream README requires Python 3.8+; the reviewed release metadata lists Linux x86/x64. Source builds need native build tools, Python headers, libpcap/libffi development libraries and the documented Graph::Easy dependency.
- Latest PyPI release at review: 2.0.0, uploaded 2023-01-08. The reviewed source head identifies itself as 2.0.1.dev0, not a newer stable release. Its build pins Cython 0.29.32 and older dependencies including NumPy 1.24.1. As checked on 2026-10-20, the reviewed 2023-01-08 commit is still the master head and GitHub’s latest release is also 2.0.0; GitHub’s last recorded push was 2024-04-18, the repository is not archived and the README does not mark it as maintained, superseded or archived.
- Provide representative raw/PCAP messages and analyst-selected models or symbols. Active grammar learning requires input/output symbols, a communication channel and target process control. The current inference documentation is explicitly unfinished.
- GPL-3.0-or-later in the reviewed source notices; documentation uses CC-BY-SA. Inference and generated models require analyst validation.

## Primary sources

1. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/README.rst>
2. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/setup.py>
3. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/pyproject.toml>
4. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/src/netzob/release.py>
5. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/COPYING.txt>
6. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/src/netzob/Inference/Grammar/ActiveGrammarInferer.py>
7. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/src/netzob/Inference/Grammar/all.py>
8. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/doc/documentation/source/tutorials/discover_features.rst>
9. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/doc/documentation/source/index.rst>
10. <https://netzob.github.io/netzob/installation/python.html>
11. <https://pypi.org/project/Netzob/2.0.0/>
12. <https://github.com/netzob/netzob/blob/088fe769e98e0bfbd3ed99e66b3982446bf8d197/src/netzob/Inference/Grammar/GenericMAT.py>

## Related entries

Matched by the same code repository or publication identifier.

- [Towards Automated Protocol Reverse Engineering Using Semantic Information](https://awesomerea.org/papers/paper-netzob/index.md) · Research paper

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## About this entry

The description was reviewed against primary sources.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.