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SoftSentryv211

yara LOW Yara-Rules
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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: 2026-08-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the execution of specific software binaries matching the SoftSentryv211 signature, which may indicate legitimate application usage or potential early-stage adversary activity involving known tools. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate these occurrences against baseline patterns and quickly distinguish between routine operations and subtle indicators of compromise that could evolve into larger threats.

YARA Rule

rule SoftSentryv211
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 83 EC ?? 53 56 57 E9 50 }

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 SoftSentryv211 detection rule, including suggested filters and exclusions tailored for an enterprise environment:

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