AI Security Incident
Evidence indicates that the affected technology is affected by a security issue.
What Happened
Evidence indicates that the affected technology is affected by a security issue.
Why This Matters
Current evidence identifies a security issue involving the affected technology, but does not yet support a more specific impact claim.
Recommended Action
No confirmed vendor remediation is available in the current evidence. Confirm whether the affected technology is present in your environment and review the affected configuration.
Exposure
Feb 10, 2026 05:30
Feb 10, 2026 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Feb 10, 2026 05:30BugSkan first recorded this incident.
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The Silent Leak: How URL Previews in LLM-Powered Tools Are Quietly Exfiltrating Sensitive Data - WebProNews
Feb 10, 2026 05:30webpronews.com · Data Leak
Sources
webpronews.com · Feb 10, 2026 05:30
Security researchers have identified a vulnerability where prompt injection attacks in LLM-powered applications can weaponize URL preview features to silently exfiltrate sensitive data. Attackers can craft malicious prompts that cause the LLM to generate URLs containing extracted confidential information, which is then transmitted to an attacker-controlled server when the application automatically fetches the URL preview.
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