Adversaries may use comment-based PowerShell scripts to execute malicious commands stealthily, avoiding traditional detection mechanisms. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify potential APT1-related activity that evades standard detection rules.
YARA Rule
rule APT1_WEBC2_QBP
{
meta:
author = "AlienVault Labs"
info = "CommentCrew-threat-apt1"
strings:
$1 = "2010QBP" wide ascii
$2 = "adobe_sl.exe" wide ascii
$3 = "URLDownloadToCacheFile" wide ascii
$4 = "dnsapi.dll" wide ascii
$5 = "urlmon.dll" wide ascii
condition:
4 of them
}
This YARA rule can be deployed in the following contexts:
This rule contains 5 string patterns in its detection logic.
Scenario: Scheduled system maintenance job using task scheduler
Filter/Exclusion: process.parent_process_name:"Task Scheduler" or process.command_line:"schtasks.exe"
Scenario: Admin performing a database backup using SQL Server Agent Job
Filter/Exclusion: process.parent_process_name:"sqlagent.exe" or process.command_line:"sqlcmd.exe"
Scenario: IT staff using PowerShell to generate a report with Out-GridView
Filter/Exclusion: process.parent_process_name:"WindowsPowerShell.exe" or process.command_line:"powershell.exe -Command"
Scenario: User running a legitimate script to parse log files using Python
Filter/Exclusion: process.parent_process_name:"python.exe" or process.command_line:"python script.py"
Scenario: System update via Windows Update triggering a script execution
Filter/Exclusion: process.parent_process_name:"wuauserv" or process.command_line:"wuauclt.exe"