LLMs in malware research: AI, Standards, and Why Evidence Still Matters

▤ Summary

This article argues that malware research must remain evidence-based even when AI tools assist with analysis and writing. It explains how unverifiable reports, missing file hashes, and changing artifacts make claims hard to reproduce. It warns that AI-generated or AI-assisted vulnerability disclosures can create false reports and extra work for software vendors. It also notes that repeated claims do not become true without independent verification. The piece ends by urging researchers to provide enough detail for others to reproduce findings and to remain accountable for published conclusions.

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