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EchoLeak: The Zero-Click AI Vulnerability
Sources:
- https://www.aim.security/lp/aim-labs-echoleak-blogpost
- https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-32711
The provided sources comprehensively analyze the "EchoLeak" vulnerability (CVE-2025-32711), a critical "zero-click" AI command injection flaw discovered in Microsoft 365 Copilot.
This vulnerability allowed unauthorized data exfiltration without user interaction, by manipulating the AI's processing of specially crafted emails through an "LLM Scope Violation" within its Retrieval-Augmented Generation (RAG) architecture.
The texts detail the attack chain, potential impacts on sensitive organizational data, and crucial mitigation strategies, emphasizing the need for proactive, AI-specific security measures beyond traditional cybersecurity, including AI security gateways and specialized incident response plans.
They also compare EchoLeak to historical cyber threats, highlighting its unique characteristics as an AI-driven attack and discuss the evolving legal and regulatory implications for AI-related data breaches.
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By Benjamin Alloul 🗪 🅽🅾🆃🅴🅱🅾🅾🅺🅻🅼Sources:
- https://www.aim.security/lp/aim-labs-echoleak-blogpost
- https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-32711
The provided sources comprehensively analyze the "EchoLeak" vulnerability (CVE-2025-32711), a critical "zero-click" AI command injection flaw discovered in Microsoft 365 Copilot.
This vulnerability allowed unauthorized data exfiltration without user interaction, by manipulating the AI's processing of specially crafted emails through an "LLM Scope Violation" within its Retrieval-Augmented Generation (RAG) architecture.
The texts detail the attack chain, potential impacts on sensitive organizational data, and crucial mitigation strategies, emphasizing the need for proactive, AI-specific security measures beyond traditional cybersecurity, including AI security gateways and specialized incident response plans.
They also compare EchoLeak to historical cyber threats, highlighting its unique characteristics as an AI-driven attack and discuss the evolving legal and regulatory implications for AI-related data breaches.