Full Report
How It Works Uncoder AI translates threat intelligence into Cortex XSIAM detection logic by ingesting structured IOCs and extracting relevant execution behaviors. This example focuses on the WRECKSTEEL campaign (CERT-UA#14283), a PowerShell-based stealer that abuses native tools and network requests to exfiltrate data. On the left, Uncoder AI parses dozens of SHA256 hashes, filenames, scripts […] The post AI-Driven IOC Conversion for Palo Alto Cortex XSIAM Queries appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Uncoder AI IOC Conversion for Palo Alto Cortex XSIAM
## Overview
Uncoder AI is a tool, specifically part of the SOC Prime Detection as Code platform, designed to rapidly convert raw Indicators of Compromise (IOCs) into actionable, high-fidelity detection logic written in Palo Alto Cortex XQL (XSIAM Query Language). Its primary purpose is to accelerate the operationalization of threat intelligence, particularly focusing on behaviors associated with fileless and script-based attacks like those utilizing PowerShell.
## Technical Details
- Type: Tool/Framework Feature
- Platform: Palo Alto Cortex XSIAM (Leveraging Cortex XQL)
- Capabilities: AI-driven translation of IOCs into XQL queries, targeting PowerShell download cradles and script execution patterns.
- First Seen: The article implies ongoing development/promotion around May 23, 2025, but no specific "first seen" date for the tooling itself is provided.
## MITRE ATT&CK Mapping
Since this tool converts IOCs into detection queries focusing on attacker *behavior* (like PowerShell execution), the resultant detections would map to tactics the attacker employs. Based on the mention of "PowerShell download cradles and script execution," the mapped techniques likely include:
- **Execution**
- T1059.001 - Command and Scripting Interpreter: PowerShell
- **Defense Evasion**
- T1027 - Obfuscated Files or Information (potentially related to how scripts are delivered/executed)
## Functionality
### Core Capabilities
- **AI-Driven Translation:** Automatically converts generic IOC feeds (IP addresses, hashes, domains) into valid Cortex XQL query formats.
- **Accelerated Rule Creation:** Significantly speeds up the process of turning threat intelligence into deployable detection rules within Cortex XSIAM.
### Advanced Features
- **Behavioral Targeting:** Focuses on mapping IOCs to specific, high-fidelity attacker behaviors, such as identifying PowerShell download cradles and tracking script execution flags.
- **Multi-layered Matching:** Creates queries that match process names, script execution arguments, and network destinations for enhanced accuracy.
## Indicators of Compromise
This summary focuses on a **detection engineering tool**, not malware. Therefore, it does not generate IOCs itself. The tool *consumes* IOCs (hashes, domains, network destinations) related to threats like PowerShell attacks and *generates* protective queries.
- File Hashes: N/A (tool input, not output)
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: N/A (tool input, not output)
- Behavioral Indicators: *Generated detections* target behaviors such as PowerShell execution and command-line arguments indicative of remote content downloading.
## Associated Threat Actors
The tool is designed to defend against actors who utilize common adversary techniques, explicitly mentioning threats involving **PowerShell download cradles** and script execution, common across many ransomware groups, APTs, and commodity malware strains.
## Detection Methods
Detection is focused on using the *output* of the tool within the target SIEM/XDR platform:
- **Signature-based detection:** Generated XQL rules act as signatures against the operationalized IOCs and associated behaviors.
- **Behavioral detection:** The focus on mapping IOCs to behaviors like "PowerShell download cradles" enhances behavioral detection capabilities within XSIAM.
- **YARA rules if available:** Not applicable; this focuses on SIEM/XDR query language rules (XQL).
## Mitigation Strategies
The tool facilitates mitigation by enabling rapid deployment of detection logic:
- **Prevention measures:** Rapid deployment of high-fidelity detection rules ensures immediate coverage against newly reported IOCs.
- **Hardening recommendations:** Enhancing detection coverage around script execution environments (like PowerShell) helps harden the detection posture against fileless attacks.
## Related Tools/Techniques
- **SOC Prime Uncoder.IO:** The underlying AI engine/platform used for translation.
- **Sigma Language / Sigma Conversion:** The general concept of converting human-readable threat intelligence into machine-readable detection logic (similar to how Sigma converts to other formats).
- **Palo Alto Cortex XQL:** The target query language for the resulting detections.