libfuzzer

Deploy coverage-guided fuzzing for C/C++ projects with LLVM libFuzzer.

Updated Mar 27, 2026
One-click install
npx skills add https://github.com/erenisiklar/Pusula --skill libfuzzer-erenisiklar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: libfuzzer
Source: https://github.com/erenisiklar/Pusula/tree/main/.claude/skills/libfuzzer
Command: npx skills add https://github.com/erenisiklar/Pusula --skill libfuzzer-erenisiklar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

libFuzzer provides an in-process, coverage-guided fuzzing solution for C/C++ projects, simplifying bug discovery by integrating with the LLVM toolchain and Clang-based builds.

Core Features & Use Cases

  • In-process fuzzing powered by coverage-guided mutations for fast, iterative testing.
  • Tight integration with Clang/LLVM, simple harness requirements, and broad ecosystem support.
  • Use Case: Quickly find crashes and memory errors in C/C++ code by running fuzz campaigns against a harness, then scale coverage with corpus and mutators.

Quick Start

Compile your fuzzer with clang++ using -fsanitize=fuzzer and run the resulting binary to begin fuzzing.

Frequently Asked Questions about libfuzzer

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

FAQPage Schema
How do I set up coverage-guided fuzzing for a C++ project using Clang?

Coverage-guided fuzzing for C++ is set up by compiling your code with Clang and the -fsanitize=fuzzer flag. This integrates libFuzzer to perform in-process mutations and quickly discover crashes in your target codebase.

What is in-process fuzzing and when do I need it for C/C++ codebases?

In-process fuzzing executes test inputs within the same process memory space, enabling rapid iteration and immediate crash detection. You need it for fast, coverage-guided bug discovery in C/C++ projects without the overhead of process spawning.

How do I design a fuzz harness to find memory errors in C++?

Designing a fuzz harness involves writing a function that accepts arbitrary byte arrays and passes them to your target APIs. The harness is compiled with -fsanitize=fuzzer to let libFuzzer inject mutated inputs and detect memory errors during execution.

Can I integrate sanitizers with libFuzzer during fuzz campaigns?

Sanitizers integrate directly with libFuzzer by adding flags like -fsanitize=address during Clang compilation. This combination detects memory errors and undefined behavior while the fuzzer generates coverage-guided inputs.

Does libFuzzer work with GCC or does it require Clang for C++ fuzzing?

libFuzzer requires Clang because it is part of the LLVM toolchain and relies on the -fsanitize=fuzzer instrumentation. It is designed for C/C++ projects built with Clang to ensure tight integration and reliable bug discovery.

What is the best way to manage a fuzzing corpus for C/C++ projects?

Corpus management for C/C++ fuzzing involves storing effective test inputs in a directory that libFuzzer accesses during campaigns. The coverage-guided fuzzer uses these seed inputs to scale coverage and discover new code paths over time.