This detection identifies specific file artifacts matching the SafeGuardV10Xsimonzh2000 signature to uncover potential benign or suspicious software deployments within the environment. Proactively hunting for this pattern in Azure Sentinel allows the SOC team to validate known good configurations and establish a baseline before similar signatures evolve into more critical threats.
rule SafeGuardV10Xsimonzh2000
{
meta:
author="malware-lu"
strings:
$a0 = { E8 00 00 00 00 EB 29 [26] 59 9C 81 C1 E2 FF FF FF EB 01 ?? 9D FF E1 }
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 SafeGuardV10Xsimonzh2000 detection rule, including suggested filters and exclusions tailored for a legitimate enterprise environment:
Scenario: Antivirus Engine Self-Scanning
SafeGuardV10X within memory or file artifacts. However, in an environment using Microsoft Defender for Endpoint or Symantec Endpoint Protection, the antivirus engine frequently scans its own configuration files and update logs (e.g., mpclient.dll, engine.log) which contain embedded signatures matching the rule’s logic. This causes a cascade of alerts every time the AV service performs a scheduled scan.\Program Files\Microsoft Defender\ or \Symantec Endpoint Protection\. Additionally, add a filter to exclude processes where ProcessName matches MsMpEng.exe (Defender) or Rtvscan64.exe (Symantec) when the matched artifact is located within their own installation directories.Scenario: Scheduled Software Deployment via SCCM/Intune
SafeGuardV10X client agent itself. The deployment agent extracts installation packages that contain the exact binary structure identified by the YARA rule, triggering alerts on workstations even though this is an authorized administrative action.ccmsetup.exe or IntuneManagementExtension.exe. Alternatively, filter out events where the