Practical LLM Security Advice from the NVIDIA AI Red Team | NVIDIA Technical Blog

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.

What Happened

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.

Why This Matters

Publisher reporting describes a security event affecting Team. BugSkan could not yet bind a CVE or affected version, so treat the source details as the current record.

Recommended Action

Confirm whether Team is present in your environment and review vendor guidance for this report. Apply available patches or mitigations if your deployment matches the described conditions.

Exposure

Exposure reason: This incident does not currently match a technology in My Interests.

Exploitation status: UNKNOWN

Primary entities:

Timeline

• Incident first seen
  Oct 02, 2025 05:30

  BugSkan first recorded this incident.

• Practical LLM Security Advice from the NVIDIA AI Red Team | NVIDIA Technical Blog - developer.nvidia.com
  Oct 02, 2025 05:30

  developer.nvidia.com · Vulnerability

Sources

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