aflpp
Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast.
Skill by trailofbits
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About
Use cases: testing
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/aflpp
What's inside
- Skill name
aflpp- Description
- Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast. Covers instrumentation modes, parallel main and secondary campaigns, persistent mode, corpus minimization, and crash triage. Use when scaling fuzzing across cores, fuzzing a mature C/C++ codebase, reading the afl-fuzz status screen, or moving on after libFuzzer has plateaued.
- License
- CC-BY-SA-4.0
- Instructions
- 640 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Agent Skills spec issues
- body: 640 lines (spec recommends under 500)
Files (3)
- SKILL.md
- openai.yaml · agents/
- trail-of-bits-mark.svg · assets/
SKILL.md (first lines)
# AFL++
AFL++ is a fork of the original AFL fuzzer that offers better fuzzing performance and more advanced features while maintaining stability. A major benefit over libFuzzer is that AFL++ has stable support for running fuzzing campaigns on multiple cores, making it ideal for large-scale fuzzing efforts.
## When to Use
| Fuzzer | Best For | Complexity |
|--------|----------|------------|
| AFL++ | Multi-core fuzzing, diverse mutations, mature projects | Medium |
| libFuzzer | Quick setup, single-threaded, simple harnesses | Low |
| LibAFL | Custom fuzzers, research, advanced use cases | High |
**Choose AFL++ when:**
- You need multi-core fuzzing to maximize throughput
- Your project can be compiled with Clang or GCC
- You want diverse mutation strategies and mature tooling
- libFuzzer has plateaued and you need more coverage
- You're fuzzing production codebases that benefit from parallel execution
## Quick Start
```c++
extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
// Call your code with fuzzer-provided data
check_buf((char*)data, size);
return 0;
}
```
Compile and run:
```bash
# Setup AFL++ wrapper script first (see Installation)
./afl++ docker afl-clang-fast++ -DNO_MAIN=1 -O2 -fsanitize=fuzzer harness.cc main.cc -o fuzz
mkdir seeds && echo "aaaa" > seeds/minimal_seed
./afl++ docker afl-fuzz -i seeds -o out -- ./fuzz
```
## Installation
AFL++ has many dependencies including LLVM, Python, and Rust. We recommend using a current Debian or Ubuntu distribution for fuzzing with AFL++.
| Method | When to Use | Supported Compilers |
|--------|-------------|---------------------|
| Ubuntu/Debian repos | Recent Ubuntu, basic features only | Ubuntu 23.10: Clang 14 & GCC 13<br>Debian 12: Clang 14 & GCC 12 |
| Docker (from Docker Hub) | Specific AFL++ version, Apple Silicon support | As of 4.35c: Clang 19 & GCC 11 |
| Docker (from source) | Test unreleased features, apply patches | Configurable in Dockerfile |
| From source | Avoid Docker, need specific patches | Adjustable via `LLVM_CONFIG` env var |
### Ubuntu/Debian
Prior to installing afl++, check the clang version dependency of the packge with `apt-cache show afl++`, and install the matching `lld` version (e.g., `lld-17`).
```bash
apt install afl++ lld-17
```
### Docker (from Docker Hub)
```bash
docker pull aflplusplus/aflplusplus:stable
```
### Docker (from source)
```bash
git clone --depth 1 --branch stable https://github.com/AFLplusplus/AFLplusplus
cd AFLplusplus
docker build -t aflplusplus .
```
### From source
Refer to the [Dockerfile](https://github.com/AFLplusplus/AFLplusplus/blob/stable/Dockerfile) for Ubuntu version requirements and dependencies. Set `LLVM_CONFIG` to specify Clang version (e.g., `llvm-config-18`).
### Wrapper Script Setup
Create a wrapper script to run AFL++ on host or Docker:
```bash
cat <<'EOF' > ./afl++
#!/bin/sh
AFL_VERSION="${AFL_VERSION:-"stable"}"
case "$1" in
host)
shift
bash -c "$*"
;;
docker)
shift
/usr/bin/env docker run -i \
--privileged \
-v ./:/src \
--rm \
--name "afl_fuzzing_$$" \
"aflplusplus/aflplusplus:$AFL_VERSION" \
bash -c "cd /src && bash -c \"$*\""
;;
*)
echo "Usage: $0 {host|docker}"
exit 1
;;
esac
EOF
chmod +x ./afl++
```
The examples below use `docker` mode, apart from the system configuration commands that have to reach the host kernel. Swap in `host` to run any of them against an AFL++ installed on the machine itself. The wrapper joins everything after the mode argument into a single shell string, so quoting does not survive: an argument containing a space (`-x "my dict.dict"`) arrives word-split. Rename such files without spaces, or edit the wrapper for that run.
The missing `-t` is deliberate. `docker run -ti` aborts with `the input device is not a TTY` whenever stdin is not a terminal, which covers CI jobs and anything an agent or script drives. `afl-fuzz` notices there is no terminal and prints plain status lines in place of the full-screen UI. A program that insists on a terminal, such as `watch`, has to run on the host side of the wrapper instead. `$$` expands to the wrapper's PID, so parallel instances get distinct container names rather than colliding on a single `afl_fuzzing`. `docker ps` truncates the COMMAND column, so every row looks alike; use `docker ps --no-trunc` to tell the instances apart before stopping one.
**Security Warning:** The `afl-system-config` and `afl-persistent-config` scripts require root privileges and disable OS security features. Do not fuzz on production systems or your development environment. Use a dedicated VM instead.
### System Configuration
Run after each reboot for up to 15% more executions per second:
```bashFrom 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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aflpp skill. Agent Mart. https://agentmart.dev/skills/trailofbits-aflpp (last updated 2026-10-24)