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detect Lavender(a variant of RedLeaves) in memory

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: 2026-07-02T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets the in-memory execution patterns of the Lavender threat actor to identify potential stealthy reconnaissance activities that may evade traditional signature-based detection. Proactively hunting for these specific behavioral indicators within Azure Sentinel is critical to validate early-stage compromises and refine telemetry coverage before the adversary establishes persistence or exfiltrates sensitive data.

YARA Rule

rule Lavender {
          meta:
            description = "detect Lavender(a variant of RedLeaves) in memory"
            author = "JPCERT/CC Incident Response Group"
            rule_usage = "memory scan"
            reference = "internal research"
            hash1 = "db7c1534dede15be08e651784d3a5d2ae41963d192b0f8776701b4b72240c38d"

          strings:
            $a1 = { C7 ?? ?? 4C 41 56 45 }
            $a2 = { C7 ?? ?? 4E 44 45 52 }

          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.

References

False Positive Guidance

Here are 5 specific false positive scenarios for the detect Lavender (a variant of RedLeaves) rule, tailored for an enterprise environment:

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