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AntiDote10Demo12SISTeam

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: 2026-08-24T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets potential low-severity malware or suspicious artifacts identified by the AntiDote10Demo12SISTeam YARA signature within Azure Sentinel’s workload. Proactively hunting for this behavior allows the SOC team to validate false positives and uncover early-stage threats that may evade standard high-severity alerts, ensuring comprehensive coverage of emerging risks in their environment.

YARA Rule

rule AntiDote10Demo12SISTeam
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 00 00 00 00 09 01 47 65 74 43 6F 6D 6D 61 6E 64 4C 69 6E 65 41 00 DB 01 47 65 74 56 65 72 73 69 6F 6E 45 78 41 00 73 01 47 65 74 4D 6F 64 75 6C 65 46 69 6C 65 4E 61 6D 65 41 00 00 7A 03 57 61 69 74 46 6F 72 53 69 6E 67 6C 65 4F 62 6A 65 63 74 00 BF 02 52 65 73 75 6D 65 54 68 72 65 61 64 00 00 29 03 53 65 74 54 68 72 65 61 64 43 6F 6E 74 65 78 74 00 00 94 03 57 72 69 74 65 50 72 6F 63 65 73 73 4D 65 6D 6F 72 79 00 00 6B 03 56 69 72 74 75 61 6C 41 6C 6C 6F 63 45 78 00 00 A6 02 52 65 61 64 50 72 6F 63 65 73 73 4D 65 6D 6F 72 79 00 CA 01 47 65 74 54 68 72 65 61 64 43 6F 6E 74 65 78 74 00 00 62 00 43 72 65 61 74 65 50 72 6F 63 65 73 73 41 00 00 4B 45 52 4E 45 4C 33 32 2E 64 6C 6C }

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 5 specific false positive scenarios for the AntiDote10Demo12SISTeam YARA rule detection, including suggested filters and exclusions:

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