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.
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*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 4 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the blackpos v2 detection rule in an enterprise environment, including suggested filters and exclusions:
Scenario: Automated Endpoint Patching via SCCM/Intune
HKLM\Software registry keys, and creating new service entries that mimic the behavior of POS malware installing drivers or services.System account with a parent process of ccmexec.exe (SCCM) or Microsoft.IngestionService.exe (Intune). Specifically, filter out file creation events where the source path is within %TEMP% or C:\Windows\CCMCache.Scenario: Antivirus Real-Time Scanning and Quarantine Operations
csfalcon.exe, S1Service.exe, MsMpEng.exe). Additionally, filter out file operations occurring in standard quarantine directories such as C:\ProgramData\CrowdStrike\ or C:\Windows\System32\catroot2.Scenario: IT Admin Performing Legacy POS Driver Updates