AflppCAUTION
Trail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows
Overview
Trail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows
f2255be13794OBSERVED · 2026-10-21Install
Commands as the repository documents them. They are shown, not run.
git clone --depth 1 --branch stable https://github.com/AFLplusplus/AFLplusplus
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: aflpp
type: fuzzer
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."
---
# 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:
```bash
./afl++ host afl-system-config
```
`afl-system-config` tunes the kernel it runs against, so run it on the machine that hosts the campaign. `./afl++ docker afl-system-config` reaches the same settings through the wrapper's `--privileged` container, which is the only route when AFL++ is installed via Docker alone.
For maximum performance, disable kernel security mitigations (requires grub bootloader, not supported in Docker):
```bash
./afl++ host afl-persistent-config
update-grub
reboot
./afl++ host afl-system-config
```
Verify with `cat /proc/cmdline` - output should include `mitigations=off`.
## Writing a Harness
### Harness Structure
AFL++ supports libFuzzer-style harnesses:
```c++
#incTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
plugins/modern-python/hooks/shims/pip3
plugins/modern-python/hooks/shims/python3
Gates applied: no_behavioural_pass.
f2255be13794full audit observations/trust-audit/skill/trailofbits__aflpp.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-21 | f2255be13794 | CAUTION | B | 89 | first audit |
Questions
What does the aflpp — trailofbits/skills skill do?
Trail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows
Is aflpp — trailofbits/skills safe to install?
With care. The audit graded it B (89/100) and found 2 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can aflpp — trailofbits/skills access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
What do I need installed to use aflpp — trailofbits/skills?
Its own instructions reference lld. Dependencies are pinned to exact versions.
How current is this page?
The grade is for one exact copy of the source (f2255be13794), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.
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