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.
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
}
This YARA rule can be deployed in the following contexts:
This rule contains 8 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the Sakula v1.0 detection rule in an enterprise environment, along with suggested filters or exclusions:
Automated Patch Management Deployment
C:\Windows\SoftwareDistribution and specific service accounts (e.g., NT AUTHORITY\SYSTEM, DOMAIN\PatchAdmin) during defined maintenance windows (e.g., Sundays 02:00–06:00 UTC).Enterprise Antivirus Scanning Cycles
C:\Program Files\CrowdStrike\csagent.exe, MsMpEng.exe) and their associated child processes, ensuring they do not trigger alerts unless accompanied by a high-severity threat signature.Database Backup and Maintenance Jobs