Rice: Created page with "Category:Cybersecurity '''Fuzzing''' is a testing technique, where random outputs are generated to probe unintended behaviors of a software program. = Principle = Fuzzing is generally split into 4 steps: seed initialization, seed selection, mutation, and execution. '''Seed initialization''' is the initial input to the fuzzing program. It can be random or human-designed to induce a specific behavior. '''Seed selection''' follows seed initialization. After a pool o..."

2024-06-17T19:09:42Z

Created page with "Category:Cybersecurity '''Fuzzing''' is a testing technique, where random outputs are generated to probe unintended behaviors of a software program. = Principle = Fuzzing is generally split into 4 steps: seed initialization, seed selection, mutation, and execution. '''Seed initialization''' is the initial input to the fuzzing program. It can be random or human-designed to induce a specific behavior. '''Seed selection''' follows seed initialization. After a pool o..."

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[[Category:Cybersecurity]]

'''Fuzzing''' is a testing technique, where random outputs are generated to probe unintended behaviors of a software program.

= Principle =
Fuzzing is generally split into 4 steps: seed initialization, seed selection, mutation, and execution.

'''Seed initialization''' is the initial input to the fuzzing program. It can be random or human-designed to induce a specific behavior.

'''Seed selection''' follows seed initialization. After a pool of seeds are accumulated, the seed selection algorithm picks one. It can be arbitrary or with intent (such as [[AFL]] where seeds more likely to cause untested behaviors are selected).

After a seed is selected, it is '''mutated''' into a new input.

The mutated input is then '''executed''' on the program.

= Sources =
2309.10253v2_gpt-fuzzer

Fuzzing - Revision history