This detection identifies potential fileless or memory-resident threats by leveraging a custom YARA signature to scan for specific malware patterns within Azure Sentinel’s telemetry. Proactively hunting for this behavior is essential to uncover stealthy adversary activities that may evade traditional network-based controls and ensure early identification of low-severity indicators before they escalate into critical incidents.
rule QrYPt0rbyNuTraL
{
meta:
author="malware-lu"
strings:
$a0 = { 80 F9 00 0F 84 8D 01 00 00 8A C3 [50] 32 C1 3C F3 75 89 [50] BA D9 04 00 00 E8 00 00 00 00 5F 81 C7 16 01 00 00 80 2C 3A 01 }
$a1 = { 86 18 CC 64 FF 35 00 00 00 00 [50] 64 89 25 00 00 00 00 BB 00 00 F7 BF [50] B8 78 56 34 12 87 03 E8 CD FE FF FF E8 B3 }
$a2 = { EB 00 E8 B5 00 00 00 E9 2E 01 00 00 64 FF 35 00 00 00 00 [50] 64 89 25 00 00 00 00 8B 44 24 04 }
condition:
$a0 or $a1 or $a2 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 3 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the QrYPt0rbyNuTraL detection rule in an enterprise environment:
Scenario: Automated Software Deployment via SCCM/Intune
ImageName matches ccmsetup.exe, WindowsUpdateOrchestrator.exe, or IntuneManagementExtension.exe running under the SYSTEM or specific service accounts (e.g., NT SERVICE\CCM).Scenario: Scheduled Antivirus Deep Scan
MsMpEng.exe (Defender) or rtvscan64.exe (Symantec), specifically when the child process is performing file I/O operations on .dat, .cab, or archive extensions.Scenario: Database Backup Job Execution
CommandLine contains keywords like BACKUP DATABASE, `COM