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.
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*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 5 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the Heisenberg POS detection rule in an enterprise environment, including suggested filters and exclusions:
Scenario: Automated Inventory Synchronization via PowerShell
PowerShell scripts to sync stock levels between the Point of Sale (POS) database and the ERP system may trigger this rule if they utilize specific API calls or file I/O patterns similar to the malware’s behavior.C:\Windows\System32\Tasks\RetailInventorySync. Additionally, filter out events where the parent process is svchost.exe (Service Host) with the service name matching RetailDataSvc, provided the user context is a dedicated Service Account (e.g., svc_pos_sync).Scenario: Endpoint Protection Real-Time Scanning of POS Drivers
C:\Program Files\NCR\POS directory, it may temporarily load and inspect legacy POS drivers (pos_driver.sys). This activity can be misidentified as the malware’s driver manipulation phase.FalconSensor.exe, SentinelOneAgent.exe) targeting files within the standard POS installation directory (C:\Program Files\NCR or C:\ProgramData\Verifone). Ensure the exclusion applies only to read operations (FileRead) rather than write/modify actions on driver binaries.**Scenario