MEUZZ

What is MEUZZ? MEUZZ is a machine learning-based hybrid fuzzer that uses supervised machine learning to determine adaptive and generalizable seed scheduling in determining the yields of hybrid fuzzing. It determines which new seeds are likely to produce better fuzzing yields based on the knowledge learned from past seed scheduling decisions made on the same or similar programs. MEUZZ uses a series of features extracted via code reachability and dynamic analysis to establish its learning, which