Full Report
2025-03-04 • Github (prodaft) • PRODAFT • win.unidentified_103 Open article on Malpedia
Analysis Summary
# Tool/Technique: Ragnar Loader
## Overview
Ragnar Loader is a sophisticated malware loader designed to infect systems, establish persistence, and download secondary payloads. It focuses on evading detection by employing various anti-analysis and evasion techniques.
## Technical Details
- Type: Malware Family (Loader)
- Platform: Windows
- Capabilities: Evasion, persistence establishment, secondary payload delivery, modular architecture.
- First Seen: Information not explicitly provided in the context, but associated with recent activity around March 2025.
## MITRE ATT&CK Mapping
*(Note: Specific TTPs are deduced based on the general function of a loader and require the full article for precise mapping. The following are common mappings for such malware.)*
- TA0001 - Initial Access
- T1566 - Phishing
- T1566.001 - Spearphishing Attachment
- TA0003 - Persistence
- T1547 - Boot or Logon Autostart Execution
- T1547.001 - Registry Run Keys / Startup Folder
- TA0005 - Defense Evasion
- T1027 - Obfuscated Files or Information
- T1070 - Indicator Removal on Host
- T1070.004 - File Deletion
## Functionality
### Core Capabilities
- Initial execution and establishing a foothold on the compromised system.
- Decrypting and loading secondary malware components into memory.
- Utilizing various methods to avoid detection by security software.
### Advanced Features
- Likely incorporates anti-debugging and anti-virtualization checks to hinder static and dynamic analysis.
- Potential for domain generation algorithms (DGA) or complex C2 communication protocols for resiliency.
## Indicators of Compromise
- File Hashes: [Not provided in the context]
- File Names: [Not provided in the context]
- Registry Keys: [Information not explicitly provided]
- Network Indicators: [Not provided in the context]
- Behavioral Indicators: [Frequent attempts to hide processes, memory manipulation, network connections to non-standard infrastructure]
## Associated Threat Actors
- [Not explicitly named in the context, but associated with the Github repository 'prodaft' which likely suggests it's being analyzed or tracked by PRODAFT.]
## Detection Methods
- Signature-based detection: Relying on known file hashes or specific strings found within the loader's binary.
- Behavioral detection: Monitoring for suspicious process injection, memory modifications, or attempts to establish persistence via Run keys.
- YARA rules: [Specific YARA rules not provided]
## Mitigation Strategies
- Implement robust endpoint detection and response (EDR) solutions capable of monitoring process behavior and memory anomalies.
- Maintain strict application control policies to prevent execution of unauthorized binaries.
- Keep all operating systems and software patched to prevent exploitation of initial access vectors.
## Related Tools/Techniques
- Other malware loaders (e.g., BazarLoader, IcedID, QakBot) which share similar goals of delivery and evasion.