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Sakula v1.0

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 hypothesis posits that adversaries are leveraging the “Sakula v1.0” activity pattern to establish a persistent foothold or conduct initial reconnaissance within the Azure environment. The SOC team should proactively hunt for this behavior in Sentinel to identify early-stage indicators of compromise before they escalate into higher-severity incidents, ensuring timely containment despite the rule’s current low severity classification.

YARA Rule

rule sakula_v1_0: RAT
{
    meta:
        description = "Sakula v1.0"
        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 = "=%s&type=%d"
        $m4 = "?photoid="
        $m5 = "iexplorer"
                $m6 = "net start \"%s\""
        $v1_1 = "MicroPlayerUpdate.exe"
        $MZ = "MZ"
    condition:
        $MZ at 0 and all of ($m*) and not $v1_1
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 8 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the Sakula v1.0 detection rule in an enterprise environment, along with suggested filters or exclusions:

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