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Yayih

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: 2026-07-01T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection rule identifies anomalous activity patterns associated with the “Yayih” indicator to uncover potential early-stage reconnaissance or lateral movement attempts within the Azure environment. Proactively hunting for these signals allows the SOC team to validate the efficacy of existing controls and correlate low-severity events that may otherwise be overlooked before escalating into significant incidents.

YARA Rule

rule Yayih : Family
{
    meta:
        description = "Yayih"
        author = "Seth Hardy"
        last_modified = "2014-07-11"
        
    condition:
        YayihCode or YayihStrings
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

Here are 5 specific false positive scenarios for the Yayih detection rule within an enterprise environment, including suggested filters and exclusions:

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