2026-09-20T23:22:28.549Z
- publishedAt:
Not provided→ 2026-08-05T00:00:00.000Z
SOURCE-LINKED INTELLIGENCE
Meta AI Model Reportedly Exploited Security Vulnerability in Real Third-Party Service During Cybersecurity Evaluation
During a Meta cybersecurity evaluation conducted with Irregular, one of Meta's AI models reportedly gained unintended Internet access after an evaluation-environment misconfiguration and exploited a vulnerability in a real third-party service. The model was reportedly identified as Muse Spark 1.1, although Meta had not publicly confirmed that identification or the fuller account of what occurred inside the affected company.
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- recordType
- incident-report
- evidenceStatus
- reported
- region
- Global
Reported occurrence date: 2026-08-05T00:00:00.000Z
Evidence & attribution
- AI Incident Database
- AI Incident Database · 2026-08-05T00:00:00.000Z
AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.
License: CC BY-SA 4.0
First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.