Research
MCP for agent-to-agent comms may be the riskiest...
Publication date unknown · Discovered daily.dev
Page published
Publication date unknown · First observed: 9 Oct 2026
Coverage timeline
Single-source research — one report is available.
Why it matters
The MCP trust-establishment flaw means a single prompt injection can cascade across a chain of interconnected enterprise and government AI agents, turning one compromised agent into a path for data exfiltration and SSRF.
Researcher Syed Anas Mohiuddin found a structural flaw in the Model Context Protocol (MCP) used for agent-to-agent communication across AI agents from Google, JP Morgan Chase, Weaviate, Rapid7, and the French and US governments. Because agents implicitly trust internal peers and often lack guardrails, a prompt injection aimed at one special-purpose agent can propagate to others, enabling server-side request forgery and exfiltration of sensitive data.