Feedback-Driven Fuzzing

Feedback-Driven Fuzzing uses information from the program's execution to guide the fuzzing process. As the fuzzer runs, it collects data on which parts of the code were executed.

It then uses this information to prioritize inputs that reach new, untested code paths. This makes the fuzzer increasingly effective over time.

In the context of smart contracts, it is essential for achieving high code coverage and finding deep-seated vulnerabilities. It is the most advanced form of fuzzing and is widely used in state-of-the-art security tools.

By learning from the code, it becomes more intelligent and targeted. It is a highly efficient way to explore complex codebases.

It is the gold standard for automated vulnerability detection.