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blackpos v2

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: 2026-07-09T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential Point of Sale (POS) malware activity by leveraging the BlackPOS V2 YARA signature to scan for known malicious artifacts within endpoint telemetry. Proactively hunting for this behavior in Azure Sentinel is critical because early identification of these low-severity indicators allows the SOC team to validate and contain stealthy financial data theft before it escalates into a significant breach.

YARA Rule

rule blackpos_v2
{
meta:
	author = "@patrickrolsen"
	version = "0.1"
	reference = "http://blog.nuix.com/2014/09/08/blackpos-v2-new-variant-or-different-family"
strings:
	$s1 = "Usage: -[start|stop|install|uninstall"
	$s2 = "\\SYSTEM32\\sc.exe config LanmanWorkstation"
	$s3 = "t.bat"
	$s4 = "mcfmisvc"
condition:
	uint16(0) == 0x5A4D and all of ($s*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 4 string patterns in its detection logic.

References

False Positive Guidance

Here are 4 specific false positive scenarios for the blackpos v2 detection rule in an enterprise environment, including suggested filters and exclusions:

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