This detection identifies potential malicious activity associated with the SoftDefender v11 signature by Randy Li, which may indicate early-stage file-based threats or specific software anomalies within the environment. Proactively hunting for this signal in Azure Sentinel allows the SOC team to validate low-severity alerts before they escalate, ensuring that subtle indicators of compromise are not overlooked during routine monitoring.
rule SoftDefenderv11xRandyLi
{
meta:
author="malware-lu"
strings:
$a0 = { 74 07 75 05 [6] 74 1F 75 1D ?? 68 [3] 00 59 9C 50 74 0A 75 08 ?? 59 C2 04 00 [3] E8 F4 FF FF FF [3] 78 0F 79 0D }
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 3-5 specific false positive scenarios for the SoftDefenderv11xRandyLi detection rule, including suggested filters and exclusions:
Scenario: Automated Patch Deployment via SCCM/Intune
SoftDefenderService.exe binary writing configuration files and updating signature databases, which mimics the behavior of a new installation or significant modification detected by the YARA rule.DOMAIN\SCCM-Deploy-Svc) running on the host where the update is applied. Alternatively, exclude file paths under C:\Program Files\SoftDefender\Updates from the detection scope during business hours (08:00–18:00).Scenario: Endpoint Backup Routine by Veeam Agent
SoftDefender.log, events.db) to ensure data integrity before archiving. This file I/O activity triggers the rule’s logic regarding unexpected access or modification of core security artifacts.VeeamAgent.exe and VeeamTransportService.exe. Configure the detection to ignore events where the parent process is identified as Veeam services, specifically when accessing files within the SoftDefender installation directory.Scenario: Administrative Script Execution by IT Ops Team
DOMAIN\RandyLi or a generic `