coverage-analysis

Code coverage during fuzzing is measured by executing an LLVM or GCC instrumented binary against your fuzzing corpus, processing the resulting profile data, and generating a report to assess harness effectiveness and identify unreachable code paths.

When a fuzzer plateaus, coverage analysis identifies magic value checks or unreachable code blocks that require specific dictionary entries or seed inputs to bypass, helping you target and expand your testing coverage.

Yes, code coverage analysis satisfies requirements for both LLVM and GCC-based instrumentation, allowing you to measure harness effectiveness across different compiler toolchains within your software security testing workflow.

You generate an HTML report for your fuzzing corpus by executing the instrumented binary and processing the resulting profile data to visualize reached code paths and track fuzzing progress over time.

Fuzzing harness effectiveness is how much application logic is reached by fuzzing inputs. You quantify it by measuring code coverage trends over time to verify improvements after modifying harnesses or adding seed inputs.