Meta Muse Share Links Expose Sensitive Data via Enumeration Flaw

1 reports archived1 independent sourcesupdated 10/20/2026, 20:33:13

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Security researchers discovered a design flaw in Meta's AI agent Muse that makes conversation share links easily enumerable. Despite claims of privacy-first architecture, attackers can retrieve thousands of links containing sensitive personal and business data with minimal effort, exposing a critical vulnerability.

LATEST/Security researchers discovered a design flaw in Meta's AI agent Muse that makes conversation share links easily enumerable. Despite claims of privacy-first architecture, attackers can retrieve thousands of links containing sensitive personal and business data with minimal effort, exposing a critical vulnerability.

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Total 1 reports · Latest first

Ars Technica AIT2·Oct 20, 20:3378 pts
Meta Muse Share Links Expose Sensitive Data via Enumeration Flaw
- Muse-generated share URLs lack sufficient randomness, enabling bulk enumeration
- Researchers successfully extracted 6,800 potentially leaked links, highlighting a gap between privacy promises and implementation
- AI agent content sharing features require re-evaluation of access control models to prevent passive DNS and similar attacks
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