This hunt hypothesis targets the specific malware signature identified by the VxGrazie883 YARA rule to detect early-stage file-based threats that may evade standard heuristic scans. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate low-severity alerts against actual endpoint activity, ensuring that potential false positives are distinguished from genuine initial infection vectors before they escalate.
rule VxGrazie883
{
meta:
author="malware-lu"
strings:
$a0 = { 1E 0E 1F 50 06 BF 70 03 B4 1A BA 70 03 CD 21 B4 47 B2 00 BE 32 04 CD 21 }
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 VxGrazie883 detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Automated Patch Deployment via SCCM/Intune
ccmsetup.exe or Microsoft.Update.Client service spawns temporary worker processes that match the VxGrazie883 signature due to embedded script interpreters.ccmsetup.exe, IntuneAgent.exe) and the file path prefix (e.g., C:\Program Files\Microsoft Configuration Manager\). Additionally, exclude alerts where the user context is SYSTEM or a specific service account like SVC-PATCHING.Scenario: Endpoint DLP Agent Scanning
Symantec.DLP.Agent.exe) generates a temporary analysis process that triggers the VxGrazie883 rule due to its use of similar memory allocation patterns.Symantec.DLP.Agent.exe and its child processes when running in the context of the DLP-Service user account.Scenario: Scheduled PowerShell Compliance Reporting
powershell.exe to generate audit logs for regulatory requirements (e.g