American Fuzzy Lop (AFL) is a security-oriented fuzzer that employs genetic algorithms to efficiently discover new test cases that trigger unique code paths in the targeted program. It works by repeatedly executing the program with slightly modified inputs, monitoring code coverage, and prioritizing mutations that lead to new execution paths. This allows AFL to automatically explore a large portion of the program's state space and uncover hidden bugs, such as crashes or memory leaks.
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