Convert Sigma DNS Rules to Cortex XSIAM with Uncoder AI
How It Works
Uncoder AI reads a Sigma rule designed to detect DNS queries to malicious infrastructure used by Katz Stealer malware, and instantly translates it into native Palo Alto Cortex XSIAM syntax.
Left Panel – Sigma Detection:
- Targets DNS queries to specific Katz Stealer domains (e.g.,
katz-panel.com,katzstealer.com) - Uses Sigma’s abstract detection model with:
logsourceset todnsquery|containsfor domain indicators
Tagged with MITRE ATT&CK technique T1071.004 (Command and Control over DNS)
Right Panel – XSIAM Translation:
Uncoder AI produces a Cortex XSIAM-compatible rule:
filter (xdm.network.dns.dns_question.name contains "katz-panel.com" or ...)
It:
- Maps
query|containsto Cortex’sxdm.network.dns.dns_question.name - Preserves detection fidelity and context
- Adds metadata and documentation inline (name, author, license)
Why It’s Innovative
Writing detection logic for XSIAM manually can be:
- Time-consuming due to Palo Alto’s complex data model
(xdm.*) - Error-prone without full documentation of field mappings
- Inaccessible for analysts unfamiliar with Cortex XQL (XSIAM Query Language)
Uncoder AI eliminates these challenges by:
- Automating field translation from Sigma to XSIAM
- Maintaining query intent and IOC coverage
- Adding inline documentation and licensing metadata automatically
This turns platform-specific engineering into a one-click task.
Operational Value
For detection engineers and SOC teams:
- Accelerates multi-platform coverage using open Sigma content
- Reduces reliance on vendor-specific query knowledge
- Improves fidelity of DNS-based detections in Cortex XSIAM
- Operationalizes threat intel faster, e.g., for emerging malware like Katz Stealer
Uncoder AI bridges the gap between abstract detection content and the complex, structured reality of Cortex XSIAM datasets.
The post Convert Sigma DNS Rules to Cortex XSIAM with Uncoder AI appeared first on SOC Prime.
