atheris

Name: atheris
Availability: InStock
Author: Ramprasad

Automate coverage-guided fuzzing of Python code and C extensions with AddressSanitizer.

1|Updated Feb 17, 2026

Search Tags:#testing #security #python #vulnerability detection #fuzzing #c extensions

Ready to run

npx skills add https://github.com/Ramprasad4121/srp --skill atheris-ramprasad4121

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: atheris
Source: https://github.com/Ramprasad4121/srp/tree/main/skills-repos/trailofbits/plugins/testing-handbook-skills/skills/atheris
Command: npx skills add https://github.com/Ramprasad4121/srp --skill atheris-ramprasad4121

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers find bugs and security vulnerabilities in Python code and C extensions by automatically generating diverse inputs to test code paths.

Core Features & Use Cases

Coverage-guided Fuzzing: Explores code paths efficiently using coverage feedback.
Pure Python & C Extension Support: Fuzzes both Python code and native C/C++ extensions.
Use Case: A developer can use Atheris to automatically discover memory corruption bugs or unexpected crashes in a Python library they are developing, ensuring greater stability and security.

Quick Start

Use the atheris skill to fuzz the provided python script 'fuzz_target.py'.

Frequently Asked Questions about atheris

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

FAQPage Schema

How do I fuzz Python code to find security vulnerabilities?▼

You can fuzz C extensions in Python by using coverage-guided fuzzing with integrated AddressSanitizer to detect memory corruption bugs. This approach ensures native C/C++ extensions are thoroughly tested for stability and security vulnerabilities.

What is coverage-guided fuzzing for Python libraries?▼

Coverage-guided fuzzing is a technique that explores code paths efficiently using coverage feedback to automatically generate diverse test inputs. It helps developers discover bugs and security vulnerabilities in Python code and C extensions.

Do I need clang to fuzz Python C extensions with AddressSanitizer?▼

Yes, you need clang and Python 3.7 or higher to fuzz Python C extensions with AddressSanitizer. These dependencies are required to compile native extensions and enable memory corruption detection during the fuzzing process.

Can I use fuzzing to test both pure Python code and native C extensions?▼

Yes, coverage-guided fuzzing supports testing both pure Python code and native C/C++ extensions. This combination allows you to discover unexpected crashes and memory corruption bugs across your entire Python library.

Why does fuzzing find bugs in Python code that normal testing misses?▼

Fuzzing finds missed bugs by automatically generating diverse and unexpected inputs to explore code paths that normal testing overlooks. Using coverage feedback, it efficiently targets untested logic to uncover security vulnerabilities and crashes.