Last seen March 13, 2026

AI agents Prompt Injection Vulnerability

Prompt injection attacks, particularly indirect prompt injection, pose critical enterprise security vulnerabilities by allowing attackers to manipulate Large Language Models (LLMs) and AI agents. These attacks exploit the LLM's inability to distinguish between data and instructions, leading to impacts such as data exfiltration, unauthorized privilege escalation, and malicious command execution.

Technical Severity
Low severity
Lifecycle Status

STABLE

Sources

What Happened

Prompt injection attacks, particularly indirect prompt injection, pose critical enterprise security vulnerabilities by allowing attackers to manipulate Large Language Models (LLMs) and AI agents. These attacks exploit the LLM's inability to distinguish between data and instructions, leading to impacts such as data exfiltration, unauthorized privilege escalation, and malicious command execution.

Why This Matters

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

Recommended Action

Confirm whether llm 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

My Interests Exposure

Exposure unknown

Recommended Response
Last Seen

Mar 13, 2026 05:30

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

Exploitation status: UNKNOWN

Primary entities:

OpenAIAI agentsLarge Language Models (LLMs)Prompt InjectionOpenAI Acquires PromptfooStrengthen LLM Security

Timeline

  • Incident first seen
    Mar 13, 2026 05:30

    BugSkan first recorded this incident.

  • OpenAI Acquires Promptfoo to Strengthen LLM Security Testing - thelec.net
    Mar 13, 2026 05:30

    thelec.net · Vulnerability

Sources

OpenAI Acquires Promptfoo to Strengthen LLM Security Testing - thelec.net

thelec.net · Mar 13, 2026 05:30

Prompt injection attacks, particularly indirect prompt injection, pose critical enterprise security vulnerabilities by allowing attackers to manipulate Large Language Models (LLMs) and AI agents. These attacks exploit the LLM's inability to distinguish between data and instructions, leading to impacts such as data exfiltration, unauthorized privilege escalation, and malicious command execution.

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