← Back to SOC feed Coverage →

pos jack

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 Point-of-Sale (POS) memory scraping activities where adversaries inject malicious code to capture unencrypted payment card data during transaction processing. Proactively hunting for this behavior in Azure Sentinel is critical because early identification of these subtle memory manipulations allows the SOC team to isolate compromised terminals before sensitive financial information is exfiltrated, mitigating potential regulatory and reputational impact.

YARA Rule

rule pos_jack
{
meta:
	author = "@patrickrolsen"
	maltype = "Point of Sale (POS) Malware"
	version = "0.1"
	reference = "http://blog.spiderlabs.com/2014/02/jackpos-the-house-always-wins.html"
	date = "2/22/2014"
strings:
	$pdb1 = "\\ziedpirate.ziedpirate-PC\\"
	$pdb2 = "\\sop\\sop\\"
condition:
	uint16(0) == 0x5A4D and 1 of ($pdb*)
}

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

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