AICybersecuritySecurity

AI Agent Security Breach Exposed Through Predictable Session Identifiers

A newly discovered security flaw in the Model Context Protocol implementation enables attackers to hijack AI agent sessions and inject malicious responses. The vulnerability stems from predictable session ID generation that can be exploited through systematic attacks. Security analysts warn this represents emerging risks as AI systems become integrated into critical workflows.

Critical Security Flaw in AI Protocol Implementation

Security researchers have uncovered a significant vulnerability in the implementation of Anthropic’s Model Context Protocol that enables attackers to hijack AI agent sessions and inject malicious responses, according to technical analysis reports. The security flaw, tracked as CVE-2025-6515, exists in the Oat++ framework’s MCP integration and allows session takeover through predictable session identifier generation.