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
Oct 02, 2025 05:30
Oct 02, 2025 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Oct 02, 2025 05:30BugSkan first recorded this incident.
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Practical LLM Security Advice from the NVIDIA AI Red Team | NVIDIA Technical Blog - developer.nvidia.com
Oct 02, 2025 05:30developer.nvidia.com · Vulnerability
Sources
developer.nvidia.com · Oct 02, 2025 05:30
LLM-based applications are susceptible to remote code execution (RCE) vulnerabilities when executing LLM-generated code via functions like `exec` or `eval` without proper sandboxing, often triggered by prompt injection. Additionally, insecure access controls in Retrieval-Augmented Generation (RAG) systems can lead to data leakage and indirect prompt injection, while active content rendering of LLM outputs enables data exfiltration by embedding malicious links or images.
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