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Sakula v1.4

yara LOW Yara-Rules
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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: 2026-07-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection rule identifies potential early-stage reconnaissance or benign configuration changes associated with the Sakula v1.4 framework within the Azure environment. Proactively hunting for this behavior allows the SOC team to establish a baseline of normal activity and distinguish legitimate operations from subtle anomalies that could indicate an adversary’s initial foothold.

YARA Rule

rule sakula_v1_4: RAT
{
    meta:
        description = "Sakula v1.4"
        date = "2015-10-13"
        author = "Airbus Defence and Space Cybersecurity CSIRT - Yoann Francou"
    strings:
        $m1 = "%d_of_%d_for_%s_on_%s"
        $m2 = "/c ping 127.0.0.1 & del /q \"%s\""
        $m3 = "cmd.exe /c rundll32 \"%s\""

        $v1_4 = { 50 E8 CD FC FF FF 83 C4  04 68 E8 03 00 00 FF D7 56 E8 54 12 00 00 E9 AE  FE FF FF E8 13 F5 FF FF }

        $MZ = "MZ"
    condition:
        $MZ at 0 and 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.

False Positive Guidance

Here are 5 specific false positive scenarios for the Sakula v1.4 detection rule in an enterprise environment, along with recommended filters or exclusions:

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