XSShield: Defending Against Stored XSS Attacks Using LLM-Based Semantic Understanding

XSShield: Defending Against Stored XSS Attacks Using LLM-Based Semantic Understanding

Cross-site scripting attacks represent one of the major security threats facing web applications, with Stored XSS attacks becoming the predominant form. Compared to reflected XSS, stored XSS attack payloads exhibit temporal and spatial asynchrony between injection and execution, rendering traditiona...

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Bibliographic Details
Main Authors: Yuan Zhou, Enze Wang, Wantong Yang, Wenlin Ge, Siyi Yang, Yibo Zhang, Wei Qu, Wei Xie
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
stored XSS
LLM
prompt learning
Online Access:https://www.mdpi.com/2076-3417/15/6/3348
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