AI Security Incident
Evidence indicates that the affected technology is affected by a security issue.
What Happened
Evidence indicates that the affected technology is affected by a security issue.
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
Oct 09, 2025 05:30
Oct 09, 2025 05:30
Exploitation status: UNKNOWN
Primary entities:
Timeline
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Incident first seen
Oct 09, 2025 05:30BugSkan first recorded this incident.
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A small number of samples can poison LLMs of any size - Anthropic
Oct 09, 2025 05:30anthropic.com · Vulnerability
Sources
anthropic.com · Oct 09, 2025 05:30
Researchers demonstrated that as few as 250 poisoned documents can create a backdoor vulnerability in large language models, irrespective of model size or training data volume. This data poisoning technique, which can induce denial-of-service or potentially facilitate data exfiltration, challenges prior assumptions about the required scale of malicious training data during pretraining.
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