PROVIDING MACHINE LEARNING MODELS FOR CLASSIFYING DOMAIN NAMES FOR MALWARE DETECTION

Techniques are described for providing users of a data intake and query system with pre-trained ML models capable of identifying malicious threats (e.g., malware, botnets, ransomware, etc.) in users' computing environments based on an analysis of Domain Name System (DNS) log data collected from DNS servers in users' environments. DNS log data is ingested by a data intake and query system and processed to obtain searchable timestamped event data. This event data can then be used as input to ML models provided by a security ML application described herein to detect potential occurrences of malicious activity within users' computing environments.