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atheris

Automate fuzz testing of Python code and C extensions for security vulnerabilities.

Updated Jun 9, 2026
Search Tags:#testing#security#vulnerability#python#fuzzing
One-click install
npx skills add https://github.com/iiammae/opero --skill atheris-iiammae
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: atheris
Source: https://github.com/iiammae/opero/tree/main/.agents/skills/atheris
Command: npx skills add https://github.com/iiammae/opero --skill atheris-iiammae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires atheris, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of fuzzing Python code, helping you identify security vulnerabilities like memory corruption and improve your code's robustness.

Core Features & Use Cases

  • Coverage-Guided Fuzzing: Automates the testing of Python code, targeting parts of the code that are not frequently tested.
  • Pure Python & C Extensions: Supports fuzzing of both pure Python code and Python C extensions.
  • Use Case: If you have a Python application that you want to ensure is secure against common security issues like buffer overflows or use-after-free, Atheris can help automate the process.

Quick Start

To start fuzzing your Python code with Atheris, simply run 'atheris fuzz.py'.

Frequently Asked Questions about atheris

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate fuzz testing for Python code to find security vulnerabilities?▼

Automated fuzz testing identifies security vulnerabilities in Python code by targeting infrequently tested paths. This Skill uses coverage-guided fuzzing to detect memory corruption and use-after-free issues, supporting both pure Python and Python C extensions.

Can I use fuzzing to test Python C extensions for memory corruption?▼

Fuzzing supports Python C extensions to detect memory corruption and use-after-free vulnerabilities. This capability allows you to automate security testing across both pure Python code and native C extensions integrated into your existing codebase.

How do I start coverage-guided fuzzing for a Python application?▼

To start coverage-guided fuzzing, run the fuzzing script provided by the Skill. This automates the testing process, targeting parts of your Python application that are not frequently tested to improve overall code robustness.

What types of security vulnerabilities can fuzzing identify in Python?▼

Fuzzing identifies security vulnerabilities like memory corruption, buffer overflows, and use-after-free in Python code. By automating these tests, you can ensure your application is secure against common security issues and improve its robustness.

Does automated fuzz testing work with existing Python codebases?▼

Automated fuzz testing can be integrated with existing Python codebases. This allows you to seamlessly introduce coverage-guided fuzzing to your current applications to identify vulnerabilities without needing to rebuild your project structure.

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