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libafl

Builds custom fuzzers with LibAFL, the modular Rust fuzzing library.

Skill by trailofbits

IndexedCC-BY-SA-4.0★ 7,783
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About

Builds custom fuzzers with LibAFL, the modular Rust fuzzing library. Covers composing observers, feedbacks, mutators, schedulers, and executors into a fuzzer for targets the standard tools do not fit. Use when writing a bespoke fuzzer or mutator, fuzzing a non-standard target or architecture, implementing a fuzzing research idea, or when libFuzzer and AFL++ lack the control you need.

Use cases: testing, writing, research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/libafl

What's inside

Skill name
libafl
Description
Builds custom fuzzers with LibAFL, the modular Rust fuzzing library. Covers composing observers, feedbacks, mutators, schedulers, and executors into a fuzzer for targets the standard tools do not fit. Use when writing a bespoke fuzzer or mutator, fuzzing a non-standard target or architecture, implementing a fuzzing research idea, or when libFuzzer and AFL++ lack the control you need.
License
CC-BY-SA-4.0
Instructions
619 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Agent Skills spec issues

  • body: 619 lines (spec recommends under 500)

Files (3)

  • SKILL.md
  • openai.yaml · agents/
  • trail-of-bits-mark.svg · assets/

SKILL.md (first lines)

# LibAFL

LibAFL is a modular fuzzing library that implements features from AFL-based fuzzers like AFL++. Unlike traditional fuzzers, LibAFL provides all functionality in a modular and customizable way as a Rust library. It can be used as a drop-in replacement for libFuzzer or as a library to build custom fuzzers from scratch.

## When to Use

| Fuzzer | Best For | Complexity |
|--------|----------|------------|
| libFuzzer | Quick setup, single-threaded | Low |
| AFL++ | Multi-core, general purpose | Medium |
| LibAFL | Custom fuzzers, advanced features, research | High |

**Choose LibAFL when:**
- You need custom mutation strategies or feedback mechanisms
- Standard fuzzers don't support your target architecture
- You want to implement novel fuzzing techniques
- You need fine-grained control over fuzzing components
- You're conducting fuzzing research

## Quick Start

LibAFL can be used as a drop-in replacement for libFuzzer with minimal setup:

```c++
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
    // Call your code with fuzzer-provided data
    my_function(data, size);
    return 0;
}
```

Build LibAFL's libFuzzer compatibility layer:
```bash
git clone https://github.com/AFLplusplus/LibAFL
cd LibAFL/libafl_libfuzzer_runtime
./build.sh
```

Compile and run:
```bash
clang++ -DNO_MAIN -g -O2 -fsanitize=fuzzer-no-link libFuzzer.a harness.cc main.cc -o fuzz
./fuzz corpus/
```

## Installation

### Prerequisites

- Clang/LLVM 15-18
- Rust (via rustup)
- Additional system dependencies

### Linux/macOS

Install Clang:
```bash
apt install clang
```

Or install a specific version via apt.llvm.org:
```bash
wget https://apt.llvm.org/llvm.sh
chmod +x llvm.sh
sudo ./llvm.sh 15
```

Configure environment for Rust:
```bash
export RUSTFLAGS="-C linker=/usr/bin/clang-15"
export CC="clang-15"
export CXX="clang++-15"
```

Install Rust:
```bash
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
```

Install additional dependencies:
```bash
apt install libssl-dev pkg-config
```

For libFuzzer compatibility mode, install nightly Rust:
```bash
rustup toolchain install nightly --component llvm-tools
```

### Verification

Build LibAFL to verify installation:
```bash
cd LibAFL/libafl_libfuzzer_runtime
./build.sh
# Should produce libFuzzer.a
```

## Writing a Harness

LibAFL harnesses follow the same pattern as libFuzzer when using drop-in replacement mode:

```c++
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
    // Your fuzzing target code here
    return 0;
}
```

When building custom fuzzers with LibAFL as a Rust library, harness logic is integrated directly into the fuzzer. See the "Writing a Custom Fuzzer" section below for the full pattern.

> **See Also:** For detailed harness writing techniques, see the **harness-writing** technique skill.

## Usage Modes

LibAFL supports two primary usage modes:

### 1. libFuzzer Drop-in Replacement

Use LibAFL as a replacement for libFuzzer with existing harnesses.

From trailofbits/skills, CC-BY-SA-4.0.

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Last commit (this folder)
Sep 16, 2026 (1 month ago)

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License
CC-BY-SA-4.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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libafl skill. Agent Mart. https://agentmart.dev/skills/trailofbits-libafl (last updated 2026-10-24)