정보
cargo-fuzz는 libFuzzer를 사용하여 Cargo 기반 Rust 프로젝트의 퍼징을 설정하고 실행합니다. 이 도구는 하네스 생성, Arbitrary를 통한 구조화된 입력, 그리고 샌타이저 통합을 처리하며, 특히 안전하지 않은 코드나 FFI를 테스트하는 데 이상적입니다. Rust 크레이트를 퍼징해야 하거나 퍼징 실행으로 발생한 크래시를 분석할 때 사용하세요.
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문서
cargo-fuzz
cargo-fuzz is the de facto choice for fuzzing Rust projects when using Cargo. It uses libFuzzer as the backend and provides a convenient Cargo subcommand that automatically enables relevant compilation flags for your Rust project, including support for sanitizers like AddressSanitizer.
When to Use
cargo-fuzz is currently the primary and most mature fuzzing solution for Rust projects using Cargo.
| Fuzzer | Best For | Complexity |
|---|---|---|
| cargo-fuzz | Cargo-based Rust projects, quick setup | Low |
| AFL++ | Multi-core fuzzing, non-Cargo projects | Medium |
| LibAFL | Custom fuzzers, research, advanced use cases | High |
Choose cargo-fuzz when:
- Your project uses Cargo (required)
- You want simple, quick setup with minimal configuration
- You need integrated sanitizer support
- You're fuzzing Rust code with or without unsafe blocks
Quick Start
#![no_main]
use libfuzzer_sys::fuzz_target;
fn harness(data: &[u8]) {
your_project::check_buf(data);
}
fuzz_target!(|data: &[u8]| {
harness(data);
});
Initialize and run:
cargo fuzz init
# Edit fuzz/fuzz_targets/fuzz_target_1.rs with your harness
cargo +nightly fuzz run fuzz_target_1
Installation
cargo-fuzz requires the nightly Rust toolchain because it uses features only available in nightly.
Prerequisites
- Rust and Cargo installed via rustup
- Nightly toolchain
Linux/macOS
# Install nightly toolchain
rustup install nightly
# Install cargo-fuzz
cargo install cargo-fuzz
Verification
cargo +nightly --version
cargo fuzz --version
Writing a Harness
Project Structure
cargo-fuzz works best when your code is structured as a library crate. If you have a binary project, split your main.rs into:
src/main.rs # Entry point (main function)
src/lib.rs # Code to fuzz (public functions)
Cargo.toml
Initialize fuzzing:
cargo fuzz init
This creates:
fuzz/
├── Cargo.toml
└── fuzz_targets/
└── fuzz_target_1.rs
Harness Structure
#![no_main]
use libfuzzer_sys::fuzz_target;
fn harness(data: &[u8]) {
// 1. Validate input size if needed
if data.is_empty() {
return;
}
// 2. Call target function with fuzz data
your_project::target_function(data);
}
fuzz_target!(|data: &[u8]| {
harness(data);
});
Harness Rules
| Do | Don't |
|---|---|
| Structure code as library crate | Keep everything in main.rs |
Use fuzz_target! macro | Write custom main function |
Handle Result::Err gracefully | Panic on expected errors |
| Keep harness deterministic | Use random number generators |
See Also: For detailed harness writing techniques and structure-aware fuzzing with the
arbitrarycrate, see the fuzz-harness-writing technique skill.
Structure-Aware Fuzzing
cargo-fuzz integrates with the arbitrary crate for structure-aware fuzzing:
// In your library crate
use arbitrary::Arbitrary;
#[derive(Debug, Arbitrary)]
pub struct Name {
data: String
}
// In your fuzz target
#![no_main]
use libfuzzer_sys::fuzz_target;
fuzz_target!(|data: your_project::Name| {
data.check_buf();
});
Add to your library's Cargo.toml:
[dependencies]
arbitrary = { version = "1", features = ["derive"] }
Running Campaigns
Basic Run
cargo +nightly fuzz run fuzz_target_1
Without Sanitizers (Safe Rust)
If your project doesn't use unsafe Rust, disable sanitizers for 2x performance boost:
cargo +nightly fuzz run --sanitizer none fuzz_target_1
Check if your project uses unsafe code:
cargo install cargo-geiger
cargo geiger
Re-executing Test Cases
# Run a specific test case (e.g., a crash)
cargo +nightly fuzz run fuzz_target_1 fuzz/artifacts/fuzz_target_1/crash-<hash>
# Run all corpus entries without fuzzing
cargo +nightly fuzz run fuzz_target_1 fuzz/corpus/fuzz_target_1 -- -runs=0
Using Dictionaries
cargo +nightly fuzz run fuzz_target_1 -- -dict=./dict.dict
Interpreting Output
| Output | Meaning |
|---|---|
NEW | New coverage-increasing input discovered |
pulse | Periodic status update |
INITED | Fuzzer initialized successfully |
| Crash with stack trace | Bug found, saved to fuzz/artifacts/ |
Corpus location: fuzz/corpus/fuzz_target_1/
Crashes location: fuzz/artifacts/fuzz_target_1/
Sanitizer Integration
AddressSanitizer (ASan)
ASan is enabled by default and detects memory errors:
cargo +nightly fuzz run fuzz_target_1
Disabling Sanitizers
For pure safe Rust (no unsafe blocks in your code or dependencies):
cargo +nightly fuzz run --sanitizer none fuzz_target_1
Performance impact: ASan adds ~2x overhead. Disable for safe Rust to improve fuzzing speed.
Checking for Unsafe Code
cargo install cargo-geiger
cargo geiger
See Also: For detailed sanitizer configuration, flags, and troubleshooting, see the address-sanitizer technique skill.
Coverage Analysis
cargo-fuzz integrates with Rust's coverage tools to analyze fuzzing effectiveness.
Prerequisites
rustup toolchain install nightly --component llvm-tools-preview
cargo install cargo-binutils
cargo install rustfilt
Generating Coverage Reports
# Generate coverage data from corpus
cargo +nightly fuzz coverage fuzz_target_1
Create coverage generation script:
cat <<'EOF' > ./generate_html
#!/bin/sh
if [ $# -lt 1 ]; then
echo "Error: Name of fuzz target is required."
echo "Usage: $0 fuzz_target [sources...]"
exit 1
fi
FUZZ_TARGET="$1"
shift
SRC_FILTER="$@"
TARGET=$(rustc -vV | sed -n 's|host: ||p')
cargo +nightly cov -- show -Xdemangler=rustfilt \
"target/$TARGET/coverage/$TARGET/release/$FUZZ_TARGET" \
-instr-profile="fuzz/coverage/$FUZZ_TARGET/coverage.profdata" \
-show-line-counts-or-regions -show-instantiations \
-format=html -o fuzz_html/ $SRC_FILTER
EOF
chmod +x ./generate_html
Generate HTML report:
./generate_html fuzz_target_1 src/lib.rs
HTML report saved to: fuzz_html/
See Also: For detailed coverage analysis techniques and systematic coverage improvement, see the coverage-analysis technique skill.
Advanced Usage
Tips and Tricks
| Tip | Why It Helps |
|---|---|
| Start with a seed corpus | Dramatically speeds up initial coverage discovery |
Use --sanitizer none for safe Rust | 2x performance improvement |
| Check coverage regularly | Identifies gaps in harness or seed corpus |
| Use dictionaries for parsers | Helps overcome magic value checks |
| Structure code as library | Required for cargo-fuzz integration |
libFuzzer Options
Pass options to libFuzzer after --:
# See all options
cargo +nightly fuzz run fuzz_target_1 -- -help=1
# Set timeout per run
cargo +nightly fuzz run fuzz_target_1 -- -timeout=10
# Use dictionary
cargo +nightly fuzz run fuzz_target_1 -- -dict=dict.dict
# Limit maximum input size
cargo +nightly fuzz run fuzz_target_1 -- -max_len=1024
Multi-Core Fuzzing
# Experimental forking support (not recommended)
cargo +nightly fuzz run --jobs 1 fuzz_target_1
Note: The multi-core fuzzing feature is experimental and not recommended. For parallel fuzzing, consider running multiple instances manually or using AFL++.
Real-World Examples
Example: ogg Crate
The ogg crate parses Ogg media container files. Parsers are excellent fuzzing targets because they handle untrusted data.
# Clone and initialize
git clone https://github.com/RustAudio/ogg.git
cd ogg/
cargo fuzz init
Harness at fuzz/fuzz_targets/fuzz_target_1.rs:
#![no_main]
use ogg::{PacketReader, PacketWriter};
use ogg::writing::PacketWriteEndInfo;
use std::io::Cursor;
use libfuzzer_sys::fuzz_target;
fn harness(data: &[u8]) {
let mut pck_rdr = PacketReader::new(Cursor::new(data.to_vec()));
pck_rdr.delete_unread_packets();
let output = Vec::new();
let mut pck_wtr = PacketWriter::new(Cursor::new(output));
if let Ok(_) = pck_rdr.read_packet() {
if let Ok(r) = pck_rdr.read_packet() {
match r {
Some(pck) => {
let inf = if pck.last_in_stream() {
PacketWriteEndInfo::EndStream
} else if pck.last_in_page() {
PacketWriteEndInfo::EndPage
} else {
PacketWriteEndInfo::NormalPacket
};
let stream_serial = pck.stream_serial();
let absgp_page = pck.absgp_page();
let _ = pck_wtr.write_packet(
pck.data, stream_serial, inf, absgp_page
);
}
None => return,
}
}
}
}
fuzz_target!(|data: &[u8]| {
harness(data);
});
Seed the corpus:
mkdir fuzz/corpus/fuzz_target_1/
curl -o fuzz/corpus/fuzz_target_1/320x240.ogg \
https://commons.wikimedia.org/wiki/File:320x240.ogg
Run:
cargo +nightly fuzz run fuzz_target_1
Analyze coverage:
cargo +nightly fuzz coverage fuzz_target_1
./generate_html fuzz_target_1 src/lib.rs
Troubleshooting
| Problem | Cause | Solution |
|---|---|---|
| "requires nightly" error | Using stable toolchain | Use cargo +nightly fuzz |
| Slow fuzzing performance | ASan enabled for safe Rust | Add --sanitizer none flag |
| "cannot find binary" | No library crate | Move code from main.rs to lib.rs |
| Sanitizer compilation issues | Wrong nightly version | Try different nightly: rustup install nightly-2024-01-01 |
| Low coverage | Missing seed corpus | Add sample inputs to fuzz/corpus/fuzz_target_1/ |
| Magic value not found | No dictionary | Create dictionary file with magic values |
Related Skills
Technique Skills
| Skill | Use Case |
|---|---|
| fuzz-harness-writing | Structure-aware fuzzing with arbitrary crate |
| address-sanitizer | Understanding ASan output and configuration |
| coverage-analysis | Measuring and improving fuzzing effectiveness |
| fuzzing-corpus | Building and managing seed corpora |
| fuzzing-dictionaries | Creating dictionaries for format-aware fuzzing |
Related Fuzzers
| Skill | When to Consider |
|---|---|
| libfuzzer | Fuzzing C/C++ code with similar workflow |
| aflpp | Multi-core fuzzing or non-Cargo Rust projects |
| libafl | Advanced fuzzing research or custom fuzzer development |
Resources
Rust Fuzz Book - cargo-fuzz Official documentation for cargo-fuzz covering installation, usage, and advanced features.
arbitrary crate documentation Guide to structure-aware fuzzing with automatic derivation for Rust types.
cargo-fuzz GitHub Repository Source code, issue tracker, and examples for cargo-fuzz.
GitHub 저장소
자주 묻는 질문
cargo-fuzz Skill이란 무엇인가요?
cargo-fuzz은(는) trailofbits이(가) 만든 Claude Skill입니다. Skill은 Claude가 필요할 때 불러오는 지침과 리소스를 묶어 추가 프롬프트 없이 cargo-fuzz 관련 작업을 수행할 수 있게 합니다.
cargo-fuzz은(는) 어떻게 설치하나요?
이 페이지의 설치 명령을 사용하세요. cargo-fuzz을(를) Claude Code 플러그인으로 추가하거나 저장소를 skills 디렉터리에 복제한 다음 Claude를 다시 시작해 Skill을 불러옵니다.
cargo-fuzz은(는) 어떤 카테고리에 속하나요?
cargo-fuzz은(는) 디자인 카테고리에 속합니다.
cargo-fuzz은(는) 무료로 사용할 수 있나요?
네. cargo-fuzz은(는) AIMCP에 등록되어 있으며 무료로 설치할 수 있습니다.
연관 스킬
executing-plans 스킬은 검토 체크포인트가 포함된 통제된 배치로 실행할 완전한 구현 계획이 있을 때 사용합니다. 이 스킬은 계획을 불러와 비판적으로 검토한 후, 소규모 배치(기본값 3개 작업)로 작업을 실행하면서 각 배치 사이에 진행 상황을 아키텍트 검토를 위해 보고합니다. 이를 통해 내재된 품질 관리 체크포인트를 갖춘 체계적인 구현이 보장됩니다.
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이 스킬은 개발자들이 HTTP, stdio 또는 SSE 전송 방식을 통해 MCP 서버를 Claude Code에 연결하는 포괄적인 가이드를 제공합니다. GitHub, Notion 및 사용자 정의 API와 같은 외부 서비스를 통합하기 위한 설치, 구성, 인증 및 보안을 다룹니다. MCP 통합 설정, 외부 도구 구성 또는 Claude의 모델 컨텍스트 프로토콜 작업 시 활용하세요.
이 스킬은 작업 분석을 기반으로 개발자가 Claude Code 웹 인터페이스와 CLI 인터페이스 중 선택할 수 있도록 돕고, 두 환경 간 원활한 세션 텔레포트를 가능하게 합니다. 웹, CLI 또는 모바일 환경 전환 시 세션 상태와 컨텍스트를 관리하여 워크플로를 최적화합니다. 다양한 단계에서 서로 다른 도구가 필요한 복잡한 프로젝트에 사용하세요.
