Question: How does the application of machine learning contribute to the automated generation of malicious payloads in web security assessments?

Answer:

Machine learning algorithms can analyze code patterns and generate payloads that are more likely to evade detection by security measures, contributing to automated payload generation in web security assessments.

MCQ: How does the application of machine learning contribute to the automated generation of malicious payloads in web security assessments?

A. Machine learning is not applicable to payload generation.
B. Machine learning algorithms can analyze code patterns and generate payloads that are more likely to evade detection by security measures.
C. Payload generation is unrelated to machine learning.
D. Machine learning is limited to evasion techniques.

Correct Answer: A. Machine learning is not applicable to payload generation.

Explanation:

Machine learning algorithms can analyze code patterns and generate payloads that are more likely to evade detection by security measures, contributing to automated payload generation in web security assessments.