Large Language Model Prompt Injection Vulnerability
Evidence indicates that Large Language Model is affected by prompt injection.
What Happened
Evidence indicates that Large Language Model is affected by prompt injection.
Why This Matters
The evidence matters to defenders using Large Language Model 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 Large Language Model is present in your environment and review the affected configuration.
Exposure
Aug 15, 2025 05:30
Aug 15, 2025 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Aug 15, 2025 05:30BugSkan first recorded this incident.
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What Is LLM (Large Language Model) Security? | Starter Guide - Palo Alto Networks
Aug 15, 2025 05:30paloaltonetworks.com · Vulnerability
Sources
paloaltonetworks.com · Aug 15, 2025 05:30
The article details critical security risks inherent in Large Language Models (LLMs), prominently featuring prompt injection as an exploit where attackers manipulate inputs to override model instructions and elicit unintended actions. It also emphasizes sensitive data leakage, noting that LLMs can expose proprietary or private information, either directly from training data or through malicious outputs.
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