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SearchLeak: Why Do Legacy Web Vulnerabilities Persist in AI Agents?

Blog post from NeuralTrust

Post Details
Company
Date Published
Author
Alessandro Pignati
Word Count
3,575
Company Posts That Month
16
Language
English
Hacker News Points
-
Post removed?
No
Summary

SearchLeak, tracked as CVE-2026-42824, is a complex vulnerability chain within Microsoft 365 Enterprise that demonstrates the security risks associated with modern agentic systems. It allows attackers to exfiltrate sensitive data through a simple click on a link to a trusted domain like microsoft.com, exploiting the trust inherent in Microsoft 365's ecosystem. This attack specifically targets Microsoft 365 Copilot Enterprise Search, which interacts with corporate data via natural language queries. The vulnerability involves three technical stages: Parameter-to-Prompt (P2P) Injection, an HTML Rendering Race Condition, and a Content Security Policy (CSP) Bypass, enabling the extraction of critical information like MFA codes and confidential documents. The attack is particularly dangerous due to its stealth and the broad permissions Copilot has, allowing it to access extensive data silos within an organization. SearchLeak serves as a warning of how AI integration in enterprise systems can create new attack surfaces by combining traditional web vulnerabilities with prompt injection techniques, emphasizing the need for proactive AI security governance, robust data governance policies, and enhanced user education to mitigate such risks.

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