This detection identifies potential malware activity matching the Armadillov184 signature through YARA pattern analysis on endpoint or file artifacts within the Azure Sentinel environment. Proactive hunting for this behavior is essential to uncover early-stage threats that may evade standard rule-based detections, allowing the SOC team to investigate and contain low-severity anomalies before they escalate into broader incidents.
rule Armadillov184
{
meta:
author="malware-lu"
strings:
$a0 = { 55 8B EC 6A FF 68 E8 C1 40 00 68 F4 86 40 00 64 A1 00 00 00 00 50 64 89 25 00 00 00 00 83 EC 58 }
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 Armadillov184 detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Automated Backup Execution by Veeam
vbrservice.exe) to scan the file system. This process often spawns child processes that match the Armadillo signature due to similar memory allocation patterns or specific API calls used during data staging.vbrservice.exe (Veeam) and its associated service account (DOMAIN\VeeamBackupSvc) from triggering this rule on the backup server segment.Scenario: Microsoft Defender Antivirus Real-Time Scanning
MsMpEng.exe process frequently generates file I/O patterns that mimic the Armadillo detection logic, particularly when indexing new user uploads.C:\Program Files\Microsoft Defender Antivirus\MsMpEng.exe and filter out events where the user context is NT SERVICE\MsMpSvc.Scenario: Scheduled PowerShell Script for Compliance Reporting
ComplianceReport.ps1) every Tuesday at 02:00 AM. This script utilizes the .NET framework to query Active Directory and generate CSV reports, triggering the Armadillov184 signature due to its use of specific cryptographic libraries similar to those flagged by the rule.