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heistenberg pos

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: 2026-07-10T11:00:01Z · Confidence: medium

Hunt Hypothesis

This detection identifies Heisenberg POS malware activity by monitoring for specific file execution patterns and memory artifacts defined in the YARA signature. Proactively hunting for this behavior in Azure Sentinel is critical to uncover early-stage point-of-sale compromises that may evade standard alerting due to their low severity classification, ensuring timely containment before data exfiltration occurs.

YARA Rule

rule heistenberg_pos
{
meta:
	author = "@patrickrolsen"
	reference = "POS Malware"
strings:
	$s1 = "KARTOXA"
	$s2 = "dmpz.log"
	$s3 = "/api/process.php?xy="
	$s4 = "User-Agent: PCICompliant" // PCICompliant/3.33
	$s6 = "%s:*:Enabled:%s"
condition:
	uint16(0) == 0x5A4D and 3 of ($s*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

References

False Positive Guidance

Here are 4 specific false positive scenarios for the Heisenberg POS detection rule in an enterprise environment, including suggested filters and exclusions:

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