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SoftDefenderV11xRandyLi

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: 2026-08-22T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malicious activity associated with the SoftDefenderV11xRandyLi signature, which may indicate an adversary leveraging specific software defense mechanisms or custom tooling to establish a foothold within the environment. Proactively hunting for this indicator in Azure Sentinel allows the SOC team to validate its legitimacy and uncover early-stage threats that might otherwise remain undetected by standard alerting due to its low severity classification.

YARA Rule

rule SoftDefenderV11xRandyLi
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 74 07 75 05 19 32 67 E8 E8 74 1F 75 1D E8 68 39 44 }

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 5 specific false positive scenarios for the SoftDefenderV11xRandyLi detection rule, including suggested filters and exclusions:

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