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Regla para detectar Ransom.Petya con md5 AF2379CC4D607A45AC44D62135FB7015

yara LOW Yara-Rules
communityransomware
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: 2026-07-11T23:00:01Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis aims to identify early-stage Ransom.Petya activity by monitoring for the execution of a specific malicious file signature (MD5: AF2379CC4D607A45AC44D62135FB7015) across Azure Sentinel endpoints. Proactively hunting for this indicator is critical because, despite its low severity classification, detecting this known ransomware variant before widespread encryption allows the SOC team to isolate affected assets and prevent potential data loss or operational downtime.

YARA Rule

rule Ransom_Petya {
meta:
    description = "Regla para detectar Ransom.Petya con md5 AF2379CC4D607A45AC44D62135FB7015"
    author = "CCN-CERT"
    version = "1.0"
strings:
    $a1 = { C1 C8 14 2B F0 03 F0 2B F0 03 F0 C1 C0 14 03 C2 }
    $a2 = { 46 F7 D8 81 EA 5A 93 F0 12 F7 DF C1 CB 10 81 F6 }
    $a3 = { 0C 88 B9 07 87 C6 C1 C3 01 03 C5 48 81 C3 A3 01 00 00 }
condition:
    all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the Ransom.Petya detection rule (MD5: AF2379CC4D607A45AC44D62135FB7015), along with suggested filters or exclusions tailored for an enterprise environment:

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/RANSOM_Petya.yar