This hunt hypothesis targets adversaries executing custom malware or scripts identified by the specific YARA signature “tElock099tE,” which may indicate early-stage reconnaissance or lateral movement activities often missed by standard alerts. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate low-severity detections against broader telemetry, ensuring that subtle indicators of compromise are not overlooked before they escalate into significant incidents.
rule tElock099tE
{
meta:
author="malware-lu"
strings:
$a0 = { E9 5E DF FF FF 00 00 00 [4] E5 [2] 00 00 00 00 00 00 00 00 00 05 }
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 5 specific false positive scenarios for the tElock099tE detection rule, including suggested filters and exclusions:
Scenario: Automated Antivirus Definition Updates via Microsoft Defender
MsMpEng.exe process when it downloads and installs new virus definition updates during business hours. This often triggers file creation or memory injection events that mimic the rule’s signature for suspicious behavior.ImageName equals MsMpEng.exe AND CommandLine contains “UpdateService”. Alternatively, create a filter to ignore alerts originating from the specific service account NT SERVICE\MsMpSvc.Scenario: Scheduled Database Backup Jobs using Veeam or SQL Server Agent
ProcessName is VeeamTransport.exe or sqlagent.exe. Additionally, exclude file paths located within the dedicated backup directory (e.g., \Backup\).Scenario: Enterprise Software Deployment via Microsoft Endpoint Configuration Manager (SCCM)