This detection identifies potential code obfuscation or packing activities associated with the SLVc0deProtector signature, which adversaries often employ to evade static analysis and hide malicious logic within legitimate processes. A proactive hunt is essential in Azure Sentinel to uncover stealthy threats that may bypass standard heuristic scans by leveraging this specific YARA rule to analyze process execution patterns across the environment.
rule SLVc0deProtector11xSLVICU
{
meta:
author="malware-lu"
strings:
$a0 = { E8 00 00 00 00 58 C6 00 EB C6 40 01 08 FF E0 E9 4C [2] 00 }
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 SLVc0deProtector11xSLVICU detection rule, including suggested filters and exclusions:
Scenario: Legitimate execution of Symantec Endpoint Protection (SEP) or McAfee ePolicy Orchestrator during scheduled real-time scanning cycles.
rtscan.exe or mfengine.exe).Symantec Endpoint Protection Client Service) and the file path resides within the vendor’s installation directory (e.g., C:\Program Files\Symantec\... or C:\ProgramData\McAfee\...).Scenario: Deployment of application updates via Microsoft System Center Configuration Manager (SCCM) or Ivanti Neurons.
ccmexec.exe (SCCM) or IvantiAgent.exe, and the event timestamp falls within defined maintenance windows (e.g., 02:00–04:00 UTC).Scenario: Execution of internal DevOps CI/CD pipelines using Jenkins or GitLab Runner.