coverage-analysis

Code coverage analysis identifies fuzzing blockers by highlighting exercised code paths and revealing conditions, like magic value checks, that prevent the fuzzer from reaching new areas. This helps pinpoint where the fuzzer is stuck.

Harness effectiveness is tracked by generating coverage reports to gauge how well your fuzzing harnesses exercise the target code. Monitoring coverage improvements over time shows how effectively harness refinements reach new code paths.

Yes, coverage analysis applies to C/C++, Rust, and other languages with compiler instrumentation support. It utilizes build tools like Clang or GCC and utilities like llvm-cov or gcovr to generate the required coverage reports.

To generate a coverage report after a fuzzing campaign, build your project with LLVM coverage instrumentation using Clang or GCC. Then execute the provided coverage analysis commands to assess the results.

Your fuzzer stops finding new paths when specific input validation checks or magic values block progress. Coverage analysis reveals these stuck areas by showing which code branches remain unexercised during the fuzzing campaign.

Yes, compiler instrumentation is required for fuzzing coverage analysis. You must build your project using build tools like Clang or GCC with LLVM coverage instrumentation enabled to generate reports with utilities like llvm-cov.