WebMaze: Defending Against LLM-Powered Web Scanners with Functionality-Coupled Deception

Reported by arXiv cs.CR (Pengfei Zeng, Changhua Luo, Penghui Li)

Summary by Cyber Security News30 Oct 2026, 05:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.38524

arXiv:2610.38524v1 Announce Type: new Abstract: Large language models (LLMs) have enabled more effective vulnerability scanning of web applications. However, these capabilities also make it significantly easier for attackers to automate cyberattacks on the web. In this work, we investigate how to divert malicious LLM-based web scanning, with preservation of genuine functionality as a deployment requirement.

Read the full article at arXiv cs.CR →

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