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PseudoSigner02BorlandCDLLMethod2Anorganix

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: 2026-09-11T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis targets the execution of malicious binaries that utilize the Borland CDLL method to spoof digital signatures, a technique often employed by threat actors to bypass security controls and establish persistence. Proactively hunting for this behavior in Azure Sentinel allows the SOC to identify low-severity, stealthy implantations that may otherwise go unnoticed until they escalate to more impactful post-exploitation activities.

YARA Rule

rule PseudoSigner02BorlandCDLLMethod2Anorganix
{
      meta:
		author="malware-lu"
strings:
		$a0 = { EB 10 66 62 3A 43 2B 2B 48 4F 4F 4B 90 E9 90 90 90 90 }

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

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