VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender Agents

Reported by arXiv cs.CR (Yurong Hao, Wen Zhou, Guowei Guan, Tiantong Wu, Fuyao Zhang, Wei Yang Bryan Lim)

Summary by Cyber Security News1 Oct 2026, 06:00 CEST

About this summary. This is a short, independently written summary of an article first published by arXiv cs.CR. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2609.38270

arXiv:2609.38270v1 Announce Type: new Abstract: Advancing beyond traditional static scoring models, LLM-powered agentic recommender systems (LLM-ARS) instantiate users and items as autonomous agents, whose semantic states are dynamically refined through a recurrent process known as collaborative reflection.

Read the full article at arXiv cs.CR →

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