Which input types does fuzzing focus on testing for robustness?

Which input types does fuzzing focus on testing for robustness?

• A. Valid inputs
• B. Normal inputs
• C. Boundaries of input ranges
• D. Unexpected or malformed inputs

Answer: (D)

Fuzzing tests robustness by feeding unexpected or malformed inputs—data that violates protocol rules, encoding, length, or structure. The goal is to provoke crashes, memory errors, or security flaws, revealing weaknesses in input validation and error handling that normal tests might miss. While valid inputs, normal usage, and boundary values help verify correct behavior and edge handling, fuzzing pushes the system beyond expected data to see how it responds to anomalies. So the best answer is unexpected or malformed inputs.

Fuzzing tests robustness by feeding unexpected or malformed inputs—data that violates protocol rules, encoding, length, or structure. The goal is to provoke crashes, memory errors, or security flaws, revealing weaknesses in input validation and error handling that normal tests might miss. While valid inputs, normal usage, and boundary values help verify correct behavior and edge handling, fuzzing pushes the system beyond expected data to see how it responds to anomalies. So the best answer is unexpected or malformed inputs.