coverage-analysis

To analyze code coverage during fuzzing, you need to instrument your codebase using supported toolchains like LLVM/Clang, GCC, or Rust, then execute your fuzzer and generate a report using tools such as `llvm-cov` or `gcovr` to see executed paths.

Your fuzzer reaches a small percentage of functions because of fuzzing blockers like magic value checks. Generating a coverage report helps identify these untested areas so you can refine your harnesses to bypass obstacles and improve execution.

Yes, you can use gcovr to generate an HTML report for a GCC fuzzing harness. The coverage-analysis process provides specific commands and step-by-step instructions for instrumenting your code and creating reports with supported tools.

Yes, coverage analysis fully supports Rust toolchains alongside LLVM/Clang and GCC. You can instrument your Rust project to track fuzzing progress and assess harness effectiveness across different execution environments.

The best way to track fuzzing progress is by regularly generating code coverage reports after refining your harnesses. This allows you to monitor coverage changes and identify newly reachable code paths or remaining blockers as your campaign advances.

You identify magic value checks blocking your fuzzer by assessing code coverage data. By analyzing which code paths are not executed, you can pinpoint specific blockers preventing the fuzzer from progressing deeper into the target library.