This hunt hypothesis targets adversaries executing the Zhelatin Storm worm variant to identify early-stage file system infections and lateral movement patterns within the Azure environment. Proactively hunting for this low-severity indicator allows the SOC team to detect dormant or initial infection stages before they escalate into widespread data exfiltration or network disruption events.
rule VXTibsZhelatinStormWormvariant
{
meta:
author="malware-lu"
strings:
$a0 = { FF 74 24 1C 58 8D 80 [2] 77 04 50 68 62 34 35 04 E8 }
condition:
$a0 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the VXTibsZhelatinStormWormvariant detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Antivirus Engine Self-Scanning or Update Deployment
VXTibs signature overlaps with the agent’s update module hash.FalconSensor.exe, SentinelOneAgent.exe, MsMpEng.exe) and the file path resides within the vendor’s installation directory (e.g., C:\Program Files\CrowdStrike\ or C:\Windows\System32).Scenario: Scheduled System Maintenance via PowerShell or Task Scheduler
powershell.exe) to iterate through large directories and generate temporary files can trigger the “Storm” variant logic due to rapid file I/O and process spawning that mimics worm propagation.TaskSchedulerService.exe or svchost.exe (with service name Schedule) AND the command line contains specific keywords like “maintenance,” “cleanup,” or “backup.” Additionally, exclude execution paths under C:\Windows\System32\Tasks\.**Scenario: Software Deployment