AI Prompt Injection Vulnerability
The Kaspersky article forecasts various technical methods and attack vectors projected to compromise Large Language Models (LLMs) by 2025. It likely details emerging vulnerabilities and exploitation techniques targeting the integrity, confidentiality, and availability of LLM-powered systems.
What Happened
The Kaspersky article forecasts various technical methods and attack vectors projected to compromise Large Language Models (LLMs) by 2025. It likely details emerging vulnerabilities and exploitation techniques targeting the integrity, confidentiality, and availability of LLM-powered systems.
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
Exposure unknown
Sep 17, 2025 05:30
Exposure reason: This incident does not currently match a technology in My AI Stack.
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Sep 17, 2025 05:30BugSkan first recorded this incident.
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How LLMs can be compromised in 2025 - Kaspersky
Sep 17, 2025 05:30news.google.com · Research
Sources
news.google.com · Sep 17, 2025 05:30
The Kaspersky article forecasts various technical methods and attack vectors projected to compromise Large Language Models (LLMs) by 2025. It likely details emerging vulnerabilities and exploitation techniques targeting the integrity, confidentiality, and availability of LLM-powered systems.
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