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MemStub32 GH1

yara LOW Yara-Rules
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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: 2026-05-24T11:00:00Z · Confidence: medium

Hunt Hypothesis

The MemStub32 GH1 rule detects potential memory-resident malware execution by identifying suspicious memory stubs associated with known malicious activity. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage threats that evade traditional signature-based detection.

YARA Rule

rule MemStub32_GH1 {
    meta:
        author = "Jaume Martin"
    condition:
        hash.md5(0, filesize) == "0a579ad25fdd4db8110aac4dbb7d2da3"
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

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