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Threat Actors REF2924

Description

A group monitored as REF2924 by Elastic Security Labs is wielding novel data-stealing malware — an HTTP listener written in C# dubbed Naplistener by the researchers — in attacks against victims operating in southern and southeast Asia.According to a blog post by Elastic senior security research engineer Remco Sprooten, in that region of the world, network-based detection and prevention technologies are the de facto method for securing many environments.

AI Analysis

· 1 week ago

Executive Summary

REF2924 is a threat actor observed using the Naplistener malware, targeting regions in southern and southeast Asia. Their primary activity involves data theft through network-based attacks, exploiting environments that rely heavily on network detection technologies.

Goals & Targeting

The actor aims to steal data, possibly for financial or espionage purposes. They target industries in regions like southern and Southeast Asia, exploiting the reliance on network-based detection systems for potential entry points.

Enhanced Description

REF2924, identified by Elastic Security Labs, deploys the C#-based Naplistener malware to steal data. Targeted regions include southern and Southeast Asia, where network-based security is prevalent. The group's motivation appears to be financial gain or espionage. Their operations are regional with a focus on sectors likely holding sensitive information.

Key Capabilities

  • Custom malware (Naplistener) deployment
  • Network-based attacks

MITRE ATT&CK Tactics

Exfiltration
Lateral Movement

ATT&CK Techniques

T1048.001 - Data Exfiltration via Network: Web Request Protocol
T1547.004 - Remote Access Tools: Web Shells

Software / Tooling

Naplistener (C# HTTP listener)

Campaigns & Victims

No specific campaigns linked, but consistent activity in target regions suggests steady operational tempo focused on data theft.

IOC Patterns

  • Unusual HTTP traffic patterns indicative of command and control
  • Anomalies in network behavior

Recommended Actions

  • Enhance network perimeter security
  • Implement advanced network monitoring
  • Regular system patching
  • Consider deploying more robust detection systems if current methods are inadequate

Suggested Tags

Malware
Data Theft
Network Attack

Confidence Assessment

Low confidence due to limited data, particularly on motivation and specific targets. Gaps include unknown targeting sectors, goals beyond data theft, and no linked campaigns or IOCs.

ATT&CK Techniques

No techniques linked yet.

Software / Tooling

No tools linked yet.

Campaigns / Victims

No campaigns linked yet.

Observed Data

No observed data linked yet.

Indicators of Compromise

No IOCs linked yet.

References

No references recorded yet.

Intel Summary

0

Techniques

0

Tools

0

Campaigns

0

IOCs

0

Observed Data

0

Tactics

Tags

Malware
Data Theft
Network Attack

Details

Type
Unknown
Country of Origin
C
Confidence
60%
Added
May 17, 2026
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