Last seen June 2, 2025

AI Jailbreak

CyberArk Labs' Fuzzy AI framework demonstrates a universal jailbreaking capability against major LLMs, leveraging techniques like "Operation Grandma" to bypass content filters. This prompt engineering method exploits historical framing to elicit restricted information or manipulate instructions, posing significant risks for agentic AI where it could lead to system compromise and data exfiltration.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

CyberArk Labs' Fuzzy AI framework demonstrates a universal jailbreaking capability against major LLMs, leveraging techniques like "Operation Grandma" to bypass content filters. This prompt engineering method exploits historical framing to elicit restricted information or manipulate instructions, posing significant risks for agentic AI where it could lead to system compromise and data exfiltration.

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

Jun 02, 2025 05:30

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

Exploitation status: UNKNOWN

Primary entities:

Jailbreaking

Timeline

  • Incident first seen
    Jun 02, 2025 05:30

    BugSkan first recorded this incident.

  • Explaining LLM Insecurity: Why We Can Jailbreak Every Major Model - CDOTrends
    Jun 02, 2025 05:30

    cdotrends.com · Research

Sources

Explaining LLM Insecurity: Why We Can Jailbreak Every Major Model - CDOTrends

cdotrends.com · Jun 02, 2025 05:30

CyberArk Labs' Fuzzy AI framework demonstrates a universal jailbreaking capability against major LLMs, leveraging techniques like "Operation Grandma" to bypass content filters. This prompt engineering method exploits historical framing to elicit restricted information or manipulate instructions, posing significant risks for agentic AI where it could lead to system compromise and data exfiltration.

Open publisher source

My AI Stack Match

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