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Detects Turla malware (based on sample used in the RUAG APT case)

yara LOW Yara-Rules
aptcommunityturla
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at Yara-Rules →
Retrieved: 2026-06-05T11:00:00Z · Confidence: medium

Hunt Hypothesis

The hypothesis is that the detection identifies potential Turla malware activity associated with the RUAG APT group, leveraging specific indicators observed in the sample. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage Turla infections that may evade traditional detection methods.

YARA Rule

rule Turla_APT_srsvc 
{

    meta:
        description = "Detects Turla malware (based on sample used in the RUAG APT case)"
        author = "Florian Roth"
        family = "Turla"
        reference = "https://www.govcert.admin.ch/blog/22/technical-report-about-the-ruag-espionage-case"
        date = "2016-06-09"
        hash1 = "65996f266166dbb479a42a15a236e6564f0b322d5d68ee546244d7740a21b8f7"
        hash2 = "25c7ff1eb16984a741948f2ec675ab122869b6edea3691b01d69842a53aa3bac"
  
    strings:
        $x1 = "SVCHostServiceDll.dll" fullword ascii
        $s2 = "msimghlp.dll" fullword wide
        $s3 = "srservice" fullword wide
        $s4 = "ModStart" fullword ascii
        $s5 = "ModStop" fullword ascii
    
    condition:
        ( uint16(0) == 0x5a4d and filesize < 20KB and ( 1 of ($x*) or all of ($s*) ) ) or ( all of them )
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

References

False Positive Guidance

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/APT_Turla_RUAG.yar