Large Language Models Remote Code Execution Vulnerability

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.

What Happened

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.

Why This Matters

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

Recommended Action

Confirm whether ncsc 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
  Dec 08, 2025 05:30

  BugSkan first recorded this incident.

• UK cyber agency warns LLMs will always be vulnerable to prompt injection - cyberscoop.com
  Dec 08, 2025 05:30

  cyberscoop.com · Vulnerability

Sources

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My Interests Match