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
Dec 08, 2025 05:30
Dec 08, 2025 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Dec 08, 2025 05:30BugSkan first recorded this incident.
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UK cyber agency warns LLMs will always be vulnerable to prompt injection - cyberscoop.com
Dec 08, 2025 05:30cyberscoop.com · Vulnerability
Sources
cyberscoop.com · Dec 08, 2025 05:30
The UK's NCSC warns that Large Language Models (LLMs) possess an inherent architectural flaw, known as prompt injection, where they fail to distinguish between instructions and data within a single prompt. This fundamental vulnerability allows malicious actors to bypass security guardrails, hijack models, and potentially achieve remote code execution by embedding hidden instructions in seemingly benign inputs.
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