What Cargo Fuzz does
Cargo Fuzz is a specialized tool designed for fuzzing Rust projects that utilize the Cargo package manager. It leverages the libFuzzer backend, which is known for its efficiency and effectiveness in discovering bugs through randomized testing. The tool provides a straightforward Cargo subcommand that simplifies the setup process, automatically enabling necessary compilation flags, including support for sanitizers like AddressSanitizer. This integration makes it easy for developers to ensure their Rust code is robust and free of vulnerabilities.
The primary audience for Cargo Fuzz includes Rust developers who want to incorporate fuzz testing into their development workflow. By using Cargo Fuzz, developers can quickly set up fuzzing for their projects without extensive configuration. The tool is particularly beneficial for those working with unsafe Rust code, as it provides built-in support for identifying memory errors and other issues that may arise in such contexts. The ease of use and integration with existing Cargo projects makes it an essential tool for maintaining code quality.
To get started with Cargo Fuzz, developers need to ensure they have the nightly version of the Rust toolchain installed. The installation process is straightforward, requiring only a few commands to set up the tool. Once installed, users can initialize fuzzing in their projects, write harness functions, and begin running fuzz tests to uncover potential issues. The tool also supports advanced features like structure-aware fuzzing and coverage analysis, allowing developers to gain deeper insights into their code's behavior during testing.
When to use it
Use Cargo Fuzz when working on Rust projects that utilize Cargo and require a quick and easy setup for fuzz testing with integrated sanitizer support.
When not to use it
Cargo Fuzz is not suitable for projects that do not use Cargo or for scenarios requiring more complex fuzzing strategies, such as multi-core fuzzing or custom fuzzers.
What you can build with it
Integrating Fuzz Testing in a Rust Project
A developer wants to ensure their Rust library is robust and free of vulnerabilities. They use cargo-fuzz to quickly set up fuzz testing and identify potential issues.
Testing Unsafe Rust Code
A team is working on a Rust application that includes unsafe code. They utilize cargo-fuzz to run fuzz tests and detect memory errors effectively.
Analyzing Fuzzing Coverage
After running fuzz tests, a developer uses cargo-fuzz's coverage analysis features to understand which parts of their code are thoroughly tested and which need more attention.
How to install Cargo Fuzz
View source1. Install with the skills CLI
npx skills add trailofbits/skills/cargo-fuzz --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by trailofbitscargo-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.
Frequently asked questions about Cargo Fuzz
Similar skills
Heap Snapshot Analysis
Investigate V8 heap snapshots for memory issues.
VS Code Performance Workflow
Automate performance investigations in VS Code.
Memory Leak Audit
Prevent memory leaks with effective coding patterns.
CPU Profile Analysis
Analyze V8 and Chrome performance profiles for optimization.
Chat Performance Testing
Benchmark and validate chat UI performance in VS Code.
Vercel React Best Practices
Optimize your React and Next.js applications for performance.

