Arbitrary Models vs Raw Bytes
2023-06-09
Part of the Input Coverage series, comparing two fuzzing strategies: sharing Arbitrary models for domain logic vs using raw bytes for broader input coverage.2023-06-09
Part of the Input Coverage series, comparing two fuzzing strategies: sharing Arbitrary models for domain logic vs using raw bytes for broader input coverage.2023-06-02
Part of the Input Coverage series, showing how to preserve crashes by turning them into unit tests to prevent regression and maintain a permanent record of discovered bugs.2023-05-19
Part of the Input Coverage series, demonstrating how to create a single entry point that allows tests and fuzzers to share behavior and logic consistently.2023-05-12
Part of the Input Coverage series, explaining the difference between Rust panics and crashes in fuzzing contexts, and how to force crashes for proper fuzzer detection.2023-04-28
Part of the Input Coverage series, showing how to fuzz the CSV CLI binary with AFL++ using persistent harnesses and panic=abort configuration.2023-04-21
Part of the Input Coverage series, demonstrating how a CSV CLI trusts unbounded header values, leading to memory allocation aborts that property tests miss.2023-04-07
Part of the Input Coverage series, demonstrating how to add a minimal libFuzzer target to discover Unicode minus bugs in money parsing logic.