{
  "id": 13817,
  "url": "https://arxiv.org/abs/2606.13385",
  "title": "Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents",
  "summary": "arXiv:2606.13385v2 Announce Type: replace-cross Abstract: LLM-based web agents are increasingly deployed in real-world settings such as e-commerce, where they interact extensively with untrusted web content while executing actions that carry direct financial consequences. This makes them vulnerable to prompt-injection attacks, in which seemingly benign web content conceals adversarial instructions that manipulate the agent's behavior. Existing security benchmarks adopt an \\textit{attack-centric}",
  "authors": "Zihao Wang, Yiming Li, Yutong Wu, Kangjie Chen, Zheyu Liu, Fok Kar Wai, Pin-Yu Chen, Vrizlynn L. L. Thing, Bo Li, Dacheng Tao, Tianwei Zhang",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T04:00:00.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13817",
  "original_url": "https://arxiv.org/abs/2606.13385",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}