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.
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*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 2 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the pos_jack detection rule in an enterprise environment, including suggested filters and exclusions:
Legacy Point-of-Sale Firmware Updates
C:\Program Files\POS_Terminal directory, mimicking the behavior of a rogue device connection.svc_pos_updater) running on the POS management server, specifically targeting file paths containing \FirmwareUpdates\.Endpoint Antivirus Real-Time Scanning
pos_jack signature due to high I/O activity and process injection patterns similar to a POS jack connection.C:\Program Files\CrowdStrike\csagent.exe, SentinelOne\SentinelService.exe) from the rule’s scope, or filter out events where the parent process is identified as a security agent.Automated Inventory & Payment Reconciliation Scripts
Daily_Inventory_Recon.ps1) that interface with legacy payment gateways like Verifone. These scripts often spawn child processes to read/write to COM ports or simulate hardware handshakes, which the YARA rule interprets as a physical POS jack event.