Uncoder AI converts Sigma detection rules for DNS queries related to Katz Stealer malware to Microsoft Defender for Endpoint (MDE) Advanced Hunting queries.
Sigma rule is designed to detect DNS queries to malicious domains like katz-panel.com and katzstealer.com, utilizing the dns_query category under windows logs.
MDE query filters DNS inspection events, dynamically extracts domain names, and matches them against known IOC list.
The conversion helps in streamlining detection rule translation between platforms, maintaining detection logic and field mappings.
This innovation enables deploying Sigma rules in MDE environments without manual KQL coding, enhancing threat detection capabilities.
Automating the translation process improves threat detection efficiency, accelerates detection engineering cycles, and ensures correctness in syntax and semantics.
The feature enhances the reuse and portability of threat detection content in SOC workflows.
Overall, Uncoder AI plays a crucial role in bridging the gap between Sigma and MDE query languages, facilitating efficient threat detection.
This post was originally published on SOC Prime, showcasing the significance of Sigma-to-MDE query conversion for detecting Katz Stealer via Uncoder AI.