WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents
cs.CR, cs.AI
Submitted: 2026-08-25
Updated: 2026-08-25
Comments: 8 pages, 1 figure, AAAI2027
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
- MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
- ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
- ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data
- Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems
- ToolTweak: An Attack on Tool Selection in LLM-based Agents
- Les Dissonances: Cross-Tool Harvesting and Polluting in Pool-of-Tools Empowered LLM Agents
- AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations
- MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
- IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems
- ACE: A Security Architecture for LLM-Integrated App Systems
- Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
- Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
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