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AverCryptor10os1r1s

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 detection identifies the execution of the AverCryptor10os1r1s malware signature, which indicates potential file encryption or ransomware activity within the environment. Proactively hunting for this behavior in Azure Sentinel is essential to validate false positives and confirm early-stage infection before adversaries escalate their impact on critical data assets.

YARA Rule

rule AverCryptor10os1r1s
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 60 E8 00 00 00 00 5D 81 ED 75 17 40 00 8B BD 9C 18 40 00 8B 8D A4 18 40 00 B8 BC 18 40 00 03 C5 80 30 05 83 F9 00 74 71 81 7F 1C AB 00 00 00 75 62 8B 57 0C 03 95 A0 18 40 00 33 C0 51 33 C9 66 B9 FA 00 66 83 F9 00 74 49 8B 57 0C 03 95 A0 18 40 00 8B 85 A8 18 40 00 83 F8 02 75 06 81 C2 00 02 00 00 51 8B 4F 10 83 F8 02 75 06 81 E9 00 02 00 00 57 BF C8 00 00 00 8B F1 E8 27 00 00 00 8B C8 5F B8 BC 18 40 00 03 C5 E8 24 00 00 00 59 49 EB B1 59 83 C7 28 49 EB 8A 8B 85 98 18 40 00 89 44 24 1C 61 FF E0 56 57 4F F7 D7 23 F7 8B C6 5F 5E C3 }

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 AverCryptor10os1r1s detection rule in an enterprise environment, along with suggested filters and exclusions:

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