This hunt hypothesis targets adversaries leveraging specific file-based indicators defined by the tElockv085f YARA signature to identify potentially malicious artifacts within the environment. Proactively hunting for this behavior in Azure Sentinel is essential to detect low-severity threats that may evade standard alerting thresholds, ensuring early visibility into emerging file-centric attack patterns before they escalate.
rule tElockv085f
{
meta:
author="malware-lu"
strings:
$a0 = { 60 E8 02 00 00 00 CD 20 E8 00 00 00 00 5E 2B C9 58 74 02 }
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 tElockv085f detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Automated Endpoint Protection Scans
C:\ProgramData directory. During these scans, the protection engine spawns temporary worker processes that match the signature logic of the rule while analyzing locked files.falcon.sysmon.exe (CrowdStrike) or MsMpEng.exe (Defender) and the file path contains \ProgramData\. Alternatively, add a filter to suppress alerts occurring during known maintenance windows (e.g., 02:00–04:00 UTC).Scenario: Enterprise Backup Agent Operations
.vmdk or .bak) simultaneously, mimicking the behavior pattern that tElockv085f is designed to detect as suspicious locking activity.Veeam.Backup.Service.exe, rubrik-agent.exe, or CommServe.exe. Additionally, exclude file paths matching the pattern \\BackupServer\Share\ to prevent noise from network-mounted backup repositories.Scenario: Scheduled Group Policy Updates