Last seen August 26, 2025

Meta Prompt Injection Vulnerability

Cloudflare's Firewall for AI now integrates Llama Guard to provide real-time unsafe content moderation, detecting and blocking malicious prompts at the network edge before they reach Large Language Models. This mitigation specifically targets risks such as model poisoning, PII disclosure, and the injection of harmful content, aligning with the OWASP Top 10 LLM risks.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

Cloudflare's Firewall for AI now integrates Llama Guard to provide real-time unsafe content moderation, detecting and blocking malicious prompts at the network edge before they reach Large Language Models. This mitigation specifically targets risks such as model poisoning, PII disclosure, and the injection of harmful content, aligning with the OWASP Top 10 LLM risks.

Why This Matters

The evidence matters to defenders using Meta because it may let untrusted content influence connected tools or sensitive workflows.

Recommended Action

No confirmed vendor remediation is available in the current evidence. Confirm whether Meta is present in your environment and review the affected configuration.

Exposure

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Aug 26, 2025 05:30

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

Exploitation status: UNKNOWN

Primary entities:

MetaPrompt InjectionBlockFirewall

Timeline

  • Incident first seen
    Aug 26, 2025 05:30

    BugSkan first recorded this incident.

  • Block unsafe prompts targeting your LLM endpoints with Firewall for AI - The Cloudflare Blog
    Aug 26, 2025 05:30

    blog.cloudflare.com · Research

Sources

Block unsafe prompts targeting your LLM endpoints with Firewall for AI - The Cloudflare Blog

blog.cloudflare.com · Aug 26, 2025 05:30

Cloudflare's Firewall for AI now integrates Llama Guard to provide real-time unsafe content moderation, detecting and blocking malicious prompts at the network edge before they reach Large Language Models. This mitigation specifically targets risks such as model poisoning, PII disclosure, and the injection of harmful content, aligning with the OWASP Top 10 LLM risks.

Open publisher source

My AI Stack Match

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