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MemStub32

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: 2026-05-24T11:00:00Z · Confidence: medium

Hunt Hypothesis

The MemStub32 rule detects potential in-memory execution of malicious payloads by identifying suspicious memory stubs commonly used in advanced persistent threats. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify early-stage adversaries leveraging in-memory techniques to evade traditional detection mechanisms.

YARA Rule

rule MemStub32 {
    meta:
        author = "Jaume Martin"
    condition:
        hash.md5(0, filesize) == "8987652f26732607b769247adb4e9cce"
}

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