Last seen February 10, 2026

Microsoft Prompt Injection Vulnerability

Microsoft security researchers have identified "AI Recommendation Poisoning," an attack exploiting specially crafted URLs or embedded prompts to inject persistent, biasing instructions into AI assistant memory. This technique, categorized under MITRE ATLAS® AML.T0080, can compromise AI objectivity, leading to subtly manipulated recommendations in critical domains like finance, health, and security.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

Microsoft security researchers have identified "AI Recommendation Poisoning," an attack exploiting specially crafted URLs or embedded prompts to inject persistent, biasing instructions into AI assistant memory. This technique, categorized under MITRE ATLAS® AML.T0080, can compromise AI objectivity, leading to subtly manipulated recommendations in critical domains like finance, health, and security.

Why This Matters

The evidence matters to defenders using Microsoft 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 Microsoft is present in your environment and review the affected configuration.

Exposure

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Feb 10, 2026 05:30

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

Exploitation status: UNKNOWN

Primary entities:

MicrosoftPrompt InjectionAI Recommendation PoisoningManipulating AI

Timeline

  • Incident first seen
    Feb 10, 2026 05:30

    BugSkan first recorded this incident.

  • Manipulating AI memory for profit: The rise of AI Recommendation Poisoning - Microsoft
    Feb 10, 2026 05:30

    microsoft.com · Research

Sources

Manipulating AI memory for profit: The rise of AI Recommendation Poisoning - Microsoft

microsoft.com · Feb 10, 2026 05:30

Microsoft security researchers have identified "AI Recommendation Poisoning," an attack exploiting specially crafted URLs or embedded prompts to inject persistent, biasing instructions into AI assistant memory. This technique, categorized under MITRE ATLAS® AML.T0080, can compromise AI objectivity, leading to subtly manipulated recommendations in critical domains like finance, health, and security.

Open publisher source

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