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RosAsm2050aBetov

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: 2026-08-20T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversary behavior characterized by the execution of specific assembly patterns identified by the RosAsm2050aBetov YARA signature, which may indicate early-stage malware or obfuscated code deployment within the environment. A SOC team should proactively hunt for this indicator in Azure Sentinel to uncover low-severity anomalies that could represent novel threats or initial footholds before they escalate into more severe incidents.

YARA Rule

rule RosAsm2050aBetov
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 60 8B 5D 08 B9 08 00 00 00 BF [4] 83 C7 07 FD 8A C3 24 0F 04 30 3C 39 76 02 04 07 AA C1 EB 04 E2 EE FC 68 00 10 00 00 68 [4] 68 [4] 6A 00 FF 15 [4] 61 8B E5 5D C2 04 00 }

condition:
		$a0
}

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 RosAsm2050aBetov 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