Cargo Fuzz

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 by returning early | Panic on expected errors | | Keep harness deterministic | Use random number generators |

> See Also: For detailed harness writing techniques and structure-aware fuzzing with the > arbitrary crate, 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-

# 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  ./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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: RedHatProductSecurity
• Source: RedHatProductSecurity/prodsec-skills
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.