Presents TRUST-Bench benchmark for hidden-trigger tool compromises in LLM agents and VISTA-Guard framework for trajectory-aware risk scoring of final actions under untrusted feedback.
Mcp-itp: An automated framework for implicit tool poisoning in mcp
5 Pith papers cite this work. Polarity classification is still indexing.
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Five practical attacks on the x402 agentic payment protocol are demonstrated across authorization, binding, replay protection, and web handling, validated on local chains, Base Sepolia, live endpoints, and three open-source SDKs.
MCP-DPT creates a defense-placement taxonomy that organizes MCP threats and defenses across six architectural layers, revealing mostly tool-centric protections and gaps at orchestration, transport, and supply-chain layers.
All six evaluated OpenClaw agent frameworks exhibit substantial security vulnerabilities, with reconnaissance behaviors as the most common weakness and agent systems proving significantly riskier than isolated backbone models.
CASCADE is a cascaded hybrid detector that combines fast regex/entropy filtering, BGE embeddings with local LLM fallback, and output pattern checks to achieve 95.85% precision and 6.06% false-positive rate against prompt injection and related attacks in MCP-based systems.
citing papers explorer
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Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback
Presents TRUST-Bench benchmark for hidden-trigger tool compromises in LLM agents and VISTA-Guard framework for trajectory-aware risk scoring of final actions under untrusted feedback.
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Five Attacks on x402 Agentic Payment Protocol
Five practical attacks on the x402 agentic payment protocol are demonstrated across authorization, binding, replay protection, and web handling, validated on local chains, Base Sepolia, live endpoints, and three open-source SDKs.
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MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security
MCP-DPT creates a defense-placement taxonomy that organizes MCP threats and defenses across six architectural layers, revealing mostly tool-centric protections and gaps at orchestration, transport, and supply-chain layers.
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A Systematic Security Evaluation of OpenClaw and Its Variants
All six evaluated OpenClaw agent frameworks exhibit substantial security vulnerabilities, with reconnaissance behaviors as the most common weakness and agent systems proving significantly riskier than isolated backbone models.
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CASCADE: A Cascaded Hybrid Defense Architecture for Prompt Injection Detection in MCP-Based Systems
CASCADE is a cascaded hybrid detector that combines fast regex/entropy filtering, BGE embeddings with local LLM fallback, and output pattern checks to achieve 95.85% precision and 6.06% false-positive rate against prompt injection and related attacks in MCP-based systems.