Exploring the VirusTotal Dataset | An Analyst's Guide to Effective Threat Research

This article explains how to effectively query and pivot in VirusTotal using its dataset structure, top-level collections, relationships, and search modifiers across the GUI and API; introduces AI-driven analysis (Code Insight and Crowdsourced AI) and related search modifiers; and demonstrates clustering techniques with an example involving a .NET loader signed with a suspected stolen Ivacy certificate linked to prior research, while outlining practical limitations of sandboxing, automated malware configuration extraction, and evolving detection coverage to help analysts reduce false positives and negatives.