Last seen December 10, 2025

AI Prompt Injection Vulnerability

The article outlines a broad spectrum of risks to artificial intelligence (AI) systems, including data poisoning, prompt injection, and model theft, which collectively expand the attack surface and compromise AI integrity. These vulnerabilities can lead to biased outcomes, unauthorized data access, and significant financial and reputational damages for organizations leveraging AI technologies.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

The article outlines a broad spectrum of risks to artificial intelligence (AI) systems, including data poisoning, prompt injection, and model theft, which collectively expand the attack surface and compromise AI integrity. These vulnerabilities can lead to biased outcomes, unauthorized data access, and significant financial and reputational damages for organizations leveraging AI technologies.

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

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Dec 10, 2025 05:30

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

Exploitation status: UNKNOWN

Primary entities:

Data PoisoningPrompt Injection

Timeline

  • Incident first seen
    Dec 10, 2025 05:30

    BugSkan first recorded this incident.

  • What Is AI Security? - TrendMicro
    Dec 10, 2025 05:30

    trendmicro.com · Research

Sources

What Is AI Security? - TrendMicro

trendmicro.com · Dec 10, 2025 05:30

The article outlines a broad spectrum of risks to artificial intelligence (AI) systems, including data poisoning, prompt injection, and model theft, which collectively expand the attack surface and compromise AI integrity. These vulnerabilities can lead to biased outcomes, unauthorized data access, and significant financial and reputational damages for organizations leveraging AI technologies.

Open publisher source

My AI Stack Match

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