aflpp

Run parallel fuzz testing campaigns for C/C++ applications with sanitizers.

47|5|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill aflpp-redhatproductsecurity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aflpp
Source: https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/aflpp
Command: npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill aflpp-redhatproductsecurity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables efficient multi-core fuzzing of C and C++ codebases, significantly accelerating vulnerability discovery and testing workflows.

Core Features & Use Cases

  • High-performance Fuzzing: Supports multi-core and parallel fuzzing campaigns to increase coverage.
  • Flexible Integration: Works with various compilation modes including LLVM and GCC, with sanitization support.
  • Use Case: Fuzzing a large C application across multiple machines to identify security flaws faster than traditional methods.

Quick Start

Use the aflpp skill to start a multi-core fuzzing campaign by specifying seed inputs and output directory.

Frequently Asked Questions about aflpp

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

FAQPage Schema
How do I scale fuzz testing across multiple cores for a large C++ application?

Multi-core fuzz testing is supported by running parallel campaigns. This Skill provides an environment for multi-core execution to increase coverage and accelerate vulnerability discovery in C/C++ codebases.

What is parallel fuzzing and when do I need it for security testing?

Parallel fuzzing is a technique that runs multiple test cases simultaneously across different cores. You need it for security testing large-scale C/C++ applications to significantly accelerate vulnerability discovery workflows compared to traditional methods.

How to start a multi-core fuzzing campaign with seed inputs?

To start a multi-core fuzzing campaign, specify your seed inputs and an output directory. This configures the environment to execute parallel fuzz testing across available cores to identify security flaws quickly.

Does this fuzzing environment support LLVM and GCC compilation modes with sanitizers?

Yes, this fuzzing environment supports various compilation modes including LLVM and GCC. It ensures compatibility with different build configurations and integrates sanitizers and advanced instrumentation modes for thorough testing.

Can I use this for large-scale C projects requiring multi-machine execution?

Yes, it is suitable for large-scale C projects requiring multi-core execution. You can fuzz large C applications across multiple machines to identify security flaws faster than traditional single-threaded methods.