Coverage-guided fuzzing is a fuzzing approach that uses code coverage feedback to evolve inputs toward previously unexplored execution paths. It matters because feedback-driven fuzzing finds deeper bugs more efficiently than random input generation alone.
What is Coverage-Guided Fuzzing?
The fuzzer measures which branches or code paths are exercised and mutates inputs to reach new behavior. This makes it especially powerful for uncovering hidden parsing flaws, memory corruption, and complex logic bugs in difficult code paths.
What Coverage-Guided Fuzzing Commonly Supports
Common uses include vulnerability discovery, parser testing, secure development, and advanced automated bug hunting.
Coverage-Guided Fuzzing vs. Purely Random Fuzzing
Coverage-guided fuzzing adapts based on program behavior. Purely random fuzzing lacks that feedback loop and often explores input space less effectively.
Frequently Asked Questions
Why use coverage guidance?
Because it helps the fuzzer spend more effort reaching new behavior instead of repeating the same shallow paths.
Is coverage-guided fuzzing only for native code?
No. It is widely used there, but similar ideas apply in other environments too.
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