This detection identifies the execution of Point-of-Sale (POS) monitoring tools, which adversaries may leverage to exfiltrate sensitive payment data or establish persistent footholds within retail environments. Proactively hunting for this behavior in Azure Sentinel is critical because low-severity tool usage often masks initial reconnaissance activities that could precede a significant financial data breach if left unmonitored.
rule monitor_tool_pos
{
meta:
author = "@patrickrolsen"
reference = "POS malware - Monitoring Tool??"
strings:
$s1 = "RCPT TO"
$s2 = "MAIL FROM"
$s3 = "AUTH LOGIN"
$s4 = "Reply-To"
$s5 = "X-Mailer"
$s6 = "crypto"
$s7 = "test335.txt" wide
$s8 = "/c del"
condition:
uint16(0) == 0x5A4D and 7 of ($s*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 8 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the monitor_tool_pos detection rule in an enterprise environment, including suggested filters or exclusions:
Scheduled Antivirus Definition Updates
%TEMP% directory followed by immediate execution, which mimics the behavior of an unauthorized monitoring tool installation.Program Files\Windows Defender\MpCmdRun.exe or ProgramData\CrowdStrike\fsutil.exe, and filter out events where the parent process is a known Windows Service (e.g., svchost.exe with Wuauserv).Enterprise Configuration Management Agent Execution
DOMAIN\SCCM-Service-Account or DOMAIN\Ansible-Agent) and restrict alerts to non-working hours if the deployment is expected only during maintenance windows.Software Deployment via Endpoint Management
monitor_tool_pos logic.