Security researchers refine detection of suspicious packages by using AI hallucination timelines.
A security team discovered their method for flagging suspicious software packages was generating false positives. Their original system scored packages as high-risk if they were newly registered within 14 to 60 days, mistaking legitimate projects like OpenTelemetry Python for threats. The key insight was that risk should be measured by whether a package was registered *after* an AI model first hallucinated its name, not just by its absolute age. The team adjusted their algorithm to compare a package's creation date against the first recorded AI suggestion of that name. This change correctly reclassified several false positives, including a Rust tool named 'cdx-rs', as low risk.
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