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Regla para detectar W32/Filecoder.Alfa (Posibles falsos positivos)

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: 2026-07-10T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversary behavior involving the execution of the W32/Filecoder.Alfa ransomware variant to identify potential encryption activities that may initially trigger false positives. Proactive hunting in Azure Sentinel is essential to distinguish genuine early-stage ransomware infections from benign noise, ensuring rapid response before data exfiltration or widespread system locking occurs.

YARA Rule

rule Ransom_Alfa
{
meta:
description = "Regla para detectar W32/Filecoder.Alfa (Posibles falsos positivos)"
author = "CCN-CERT"
version = "1.0"
strings:
$a = { 8B 0C 97 81 E1 FF FF 00 00 81 F9 19 04 00 00 74 0F 81 F9 } 
$b = { 22 04 00 00 74 07 42 3B D0 7C E2 EB 02 }
condition:
all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific scenarios that could trigger the W32/Filecoder.Alfa detection rule in a legitimate enterprise environment, along with suggested filters or exclusions to reduce false positives:

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