Skip to content
Submit incident
AII-1000-29227
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.

MCP Protocol Vulnerabilities Lead to Data Breaches

Security researchers confirmed multiple vulnerabilities in the Model Context Protocol, including prompt injection and tool-poisoning attacks that allow malicious content to hijack AI agent behavior. The NSA documented a remote code execution flaw in the MCP-Inspector toolchain and described semantic tool-poisoning as systemic. Tencent's Zhuque Lab released AI-Infra-Guard, an open-source framework for auditing MCP servers and third-party agent skill packages as a supply chain.

April 2025 Β· Tencent Β· Security and cyberattacks
April 2025
AII-1000-29227View source β†—
Quick facts
Category
Security and cyberattacks
Country
China
Source
Tech Times
Date
April 2025
Drafted by
Raidu Incident Detection

What happened

Security researchers confirmed in April 2025 that the Model Context Protocol (MCP) carries multiple outstanding vulnerabilities, including prompt injection and tool-poisoning attacks that allow malicious content to hijack agent behavior through ordinary tool interactions.

A National Security Agency advisory published in May 2026 documented CVE-2025-49596, a remote code execution flaw in the MCP-Inspector toolchain, and described semantic tool-poisoning attacks as systemic rather than isolated.

Tencent's Zhuque Lab released AI-Infra-Guard on June 30, 2026, an open-source framework that applies deterministic rules to infrastructure and LLM auditing to MCP servers and third-party agent skill packages as a supply chain.

Reported impact

MCP vulnerabilities sit at the center of enterprise agentic deployments, as MCP is the de facto interface standard adopted by Anthropic, OpenAI, Google DeepMind, and dozens of enterprise tooling vendors for connecting AI agents to external tools.

Index analysis

Existing red teaming tools such as Microsoft's PyRIT, NVIDIA's Garak, and Promptfoo target only the model layerβ€”the direct interface between users and the underlying language modelβ€”and are not adequate for testing agents that browse websites, read files, call APIs, write code, and execute it.

AI-Infra-Guard addresses vulnerabilities in the tool integration layer by testing MCP servers for adversarial content and auditing third-party agent skill packages.

Governance controls

Tencent released AI-Infra-Guard as an open-source framework to enable organizations to audit MCP infrastructure and detect vulnerabilities in their AI agent deployments.

Classification

Category
Security and cyberattacks
Industry
Digital security
Country
China
Harm status
Potential harm
Intent
Unknown
Timing
Unknown
Harm types
Public interest
Harmed
Business
Failure modes
Prompt injection
AI systems
Model Context Protocol, AI-Infra-Guard

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

Tech Times
AI Agent Red Teaming: Tencent Framework Audits MCP Supply Chain for First Time
7 July 2026