Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection

Researchers developed a pipeline using LLMs to generate and evaluate obfuscated XSS payloads, combining deterministic transformations with runtime browser validation to test whether machine learning detection systems can identify morphed attack variants that preserve malicious behavior.

MentionsLLM · XSS · Machine Learning

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