Fuzzing and Property-Based Testing
Rust fuzzing and property-based testing are two of the most powerful techniques for discovering edge cases, memory safety bugs, and logic errors before they reach production. Fuzzing uses automated mutation and coverage feedback to hammer your code with random or semi-random inputs, while property-based testing lets you write assertions about invariants that must hold for entire classes of inputs, not just hardcoded examples. Together, they form a safety net that transforms vague "this should work" assumptions into mathematically verified guarantees.
This series walks you from your first fuzz target in cargo-fuzz through industrial-strength integration in CI/CD, covering libFuzzer, proptest, quickcheck, shrinking strategies, and real-world patterns for catching parser bugs, memory corruption, and security vulnerabilities. Whether you're shipping a cryptographic library, building a data format parser, or securing an existing codebase, the articles below will equip you to write tests that fail predictably and scale to millions of iterations.
Articles in this series
- 01. Rust Fuzzing Guide: Get Started With cargo-fuzz
- 02. What Is Property-Based Testing in Rust?
- 03. Property Testing in Rust: Quickcheck vs Proptest
- 04. Building Effective Fuzz Targets With Libfuzzer
- 05. Shrinking Test Failures in Rust Fuzzing
- 06. Property Testing Random Input in Rust
- 07. Continuous Fuzzing in Rust CI/CD Pipelines
- 08. Testing JSON Parsers With Rust Fuzzing
- 09. Detecting Memory Bugs With Rust Fuzz Targets
- 10. Advanced Proptest Strategies for Complex Data