Full Report
How It Works This feature in Uncoder AI translates complex threat intelligence into structured CrowdStrike CSQL (CrowdStrike Search Query Language), enabling instant use within Falcon Endpoint Search. In this example, indicators from CERT-UA#13738 describe a Gamaredon (UAC-0173 / LITENKODER) campaign leveraging ZIP files and cloud-hosted payloads. Uncoder AI processes the report and outputs a valid, […] The post IOC-to-CSQL Detection for Gamaredon Domains appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Gamaredon C2 Domains Detection
## Overview
This summary focuses on the process of converting Indicators of Compromise (IOCs), specifically related to Gamaredon Command and Control (C2) domains, into ready-to-deploy CSQL (a type of structured query, likely Elasticsearch/Splunk-based query language optimized by SOC Prime's platform) detection rules using AI-driven tooling like Uncoder AI. The primary goal is threat detection for the Gamaredon threat actor.
## Technical Details
- Type: Technique (IOC conversion/Detection Engineering)
- Platform: SIEM/Detection Systems (Inferred from CSQL, likely Elastic/Splunk)
- Capabilities: Automated generation and validation of detection queries from raw IOCs; specialized for detecting Gamaredon domains.
- First Seen: Not explicitly stated for the technology, but the context implies recent developments concerning Gamaredon activity (June 2025 date on the article).
## MITRE ATT&CK Mapping
*The provided text describes a *detection* method rather than an adversary TTP. However, the underlying technique being detected relates to Command and Control.*
- T1071 - Application Layer Protocol
- T1071.001 - Web Protocols (If domains are used for HTTP/HTTPS C2)
## Functionality
### Core Capabilities
- Converting raw IOCs (like C2 domains associated with Gamaredon) into structured query language (CSQL) suitable for SIEM/detection platforms.
- One-click deployment of targeted queries to identify Gamaredon domain usage.
### Advanced Features
- **Dual-layer System (Generation and Validation):** Ensures generated queries are structurally sound, syntactically correct, and semantically relevant before production deployment.
- **AI-Driven Rule Generation:** Automates the creation of detection logic, removing manual tuning for IOC application.
- **Field Mismatch and Logic Gap Avoidance:** Built-in validation minimizes false negatives caused by imperfect rule structure.
## Indicators of Compromise
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Focuses on **Gamaredon Domains** (Specific domains are not listed in the provided summary text, only the target type).
- Behavioral Indicators: Detecting network connections or DNS lookups referencing the targeted domains.
## Associated Threat Actors
- Gamaredon (Also known as Primitive Bear, Ukraine Cyber Warfare Force)
## Detection Methods
- **Signature-based detection:** Specifically, deploying CSQL rules targeting the known Gamaredon domains.
- **Behavioral detection:** Implied via the high-fidelity nature of the generated rules attempting to catch related network traffic.
- **YARA rules if available:** Not mentioned.
## Mitigation Strategies
- **Deployment:** Deploying the generated CSQL queries via SOC Prime's Detection as Code platform upon receiving new IOC reporting.
- **Hardening recommendations:** General focus on monitoring egress traffic for known malicious domains.
## Related Tools/Techniques
- Uncoder AI (The tool used for the IOC-to-CSQL conversion process)
- Detection as Code platforms (The mechanism used to manage and deploy these rules at scale)
- Roota (Mentioned as related technology from SOC Prime)