libfuzzer
Sets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang.
Skill by trailofbits
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: testing, writing, marketing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/libfuzzer
What's inside
- Skill name
libfuzzer- Description
- Sets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang. Covers harness structure, -fsanitize=fuzzer builds, corpus and dictionary management, sanitizer integration, and campaign triage. Use when writing or debugging an LLVMFuzzerTestOneInput harness, starting fuzzing on a C/C++ library, choosing between libFuzzer and AFL++, or working out why a libFuzzer run finds nothing.
- License
- CC-BY-SA-4.0
- Instructions
- 789 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Agent Skills spec issues
- body: 789 lines (spec recommends under 500)
Files (3)
- SKILL.md
- openai.yaml · agents/
- trail-of-bits-mark.svg · assets/
SKILL.md (first lines)
# libFuzzer
libFuzzer is an in-process, coverage-guided fuzzer that is part of the LLVM project. It's the recommended starting point for fuzzing C/C++ projects due to its simplicity and integration with the LLVM toolchain. While libFuzzer has been in maintenance-only mode since late 2022, it is easier to install and use than its alternatives, has wide support, and will be maintained for the foreseeable future.
## When to Use
| Fuzzer | Best For | Complexity |
|--------|----------|------------|
| libFuzzer | Quick setup, single-project fuzzing | Low |
| AFL++ | Multi-core fuzzing, diverse mutations | Medium |
| LibAFL | Custom fuzzers, research projects | High |
| Honggfuzz | Hardware-based coverage | Medium |
**Choose libFuzzer when:**
- You need a simple, quick setup for C/C++ code
- Project uses Clang for compilation
- Single-core fuzzing is sufficient initially
- Transitioning to AFL++ later is an option (harnesses are compatible)
**Note:** Fuzzing harnesses written for libFuzzer are compatible with AFL++, making it easy to transition if you need more advanced features like better multi-core support.
## Quick Start
```c++
#include <stdint.h>
#include <stddef.h>
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
// Validate input if needed
if (size < 1) return 0;
// Call your target function with fuzzer-provided data
my_target_function(data, size);
return 0;
}
```
Compile and run:
```bash
clang++ -fsanitize=fuzzer,address -g -O2 harness.cc target.cc -o fuzz
mkdir corpus/
./fuzz corpus/
```
## Installation
### Prerequisites
- LLVM/Clang compiler (includes libFuzzer)
- LLVM tools for coverage analysis (optional)
### Linux (Ubuntu/Debian)
```bash
apt install clang llvm
```
For the latest LLVM version:
```bash
# Add LLVM repository from apt.llvm.org
# Then install specific version, e.g.:
apt install clang-18 llvm-18
```
### macOS
```bash
# Using Homebrew
brew install llvm
# Or using Nix
nix-env -i clang
```
### Windows
Install Clang through Visual Studio. Refer to [Microsoft's documentation](https://learn.microsoft.com/en-us/cpp/build/clang-support-msbuild?view=msvc-170) for setup instructions.
**Recommendation:** If possible, fuzz on a local x86_64 VM or rent one on DigitalOcean, AWS, or Hetzner. Linux provides the best support for libFuzzer.
### Verification
```bash
clang++ --version
# Should show LLVM version information
```
## Writing a Harness
### Harness Structure
The harness is the entry point for the fuzzer. libFuzzer calls the `LLVMFuzzerTestOneInput` function repeatedly with different inputs.
```c++
#include <stdint.h>
#include <stddef.h>
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
// 1. Optional: Validate input size
if (size < MIN_REQUIRED_SIZE) {
return 0; // Reject inputs that are too small
}
// 2. Optional: Convert raw bytes to structured data
// Example: Parse two integers from byte array
if (size >= 2 * sizeof(uint32_t)) {
uint32_t a = *(uint32_t*)(data);
uint32_t b = *(uint32_t*)(data + sizeof(uint32_t));
my_function(a, b);
}
// 3. Call target function
target_function(data, size);
// 4. Always return 0 (non-zero reserved for future use)
return 0;
}
```From trailofbits/skills, CC-BY-SA-4.0.
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Signals
- Stars
- 7,783
- Forks
- 671
- Open issues
- 30
- Last commit (this folder)
- Sep 16, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- CC-BY-SA-4.0
- Repository
- github.com/trailofbits/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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libfuzzer skill. Agent Mart. https://agentmart.dev/skills/trailofbits-libfuzzer (last updated 2026-10-24)