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detect PoisonIvy in memory

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: 2026-07-03T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversaries leveraging the PoisonIvy framework to execute malicious payloads directly within memory, thereby evading traditional disk-based file analysis. Proactively searching for these indicators in Azure Sentinel is critical because early detection of this specific in-memory activity allows SOC teams to identify stealthy command-and-control communications before they escalate into broader lateral movements or data exfiltration events.

YARA Rule

rule PoisonIvy {
           meta:
            description = "detect PoisonIvy in memory"
            author = "JPCERT/CC Incident Response Group"
            rule_usage = "memory scan"
            reference = "internal research"

          strings:
            $a1 = { 0E 89 02 44 }
            $b1 = { AD D1 34 41 }
            $c1 = { 66 35 20 83 66 81 F3 B8 ED }

          condition: all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

References

False Positive Guidance

Here are 5 specific false positive scenarios for the detect PoisonIvy in memory rule, tailored for an enterprise environment:

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