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SoftDefenderv10v11

yara LOW Yara-Rules
community
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at Yara-Rules →
Retrieved: 2026-08-25T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the execution of specific malware signatures identified by the SoftDefenderv10v11 YARA rule to detect early-stage malicious activity that may not trigger high-severity alerts on its own. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to identify low-fidelity indicators before they escalate, ensuring comprehensive coverage against evolving threats that standard detection rules might overlook due to their low severity classification.

YARA Rule

rule SoftDefenderv10v11
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 74 07 75 05 19 32 67 E8 E8 74 1F 75 1D E8 68 39 44 CD ?? 59 9C 50 74 0A 75 08 E8 59 C2 04 ?? 55 8B EC E8 F4 FF FF FF 56 57 53 78 0F 79 0D E8 34 99 47 49 34 33 EF 31 34 52 47 23 68 A2 AF 47 01 59 E8 [4] 58 05 BA 01 [2] 03 C8 74 BE 75 BC E8 }

condition:
		$a0 at pe.entry_point
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the SoftDefenderv10v11 detection rule, including suggested filters and exclusions:

Original source: https://github.com/Yara-Rules/rules/blob/main/packers/packer.yar