CommentCrew-threat-apt1 detects potential adversary behavior involving the use of comment-based payloads or obfuscated scripts commonly associated withAPT1 tactics, which may indicate low-and-slow compromise. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage adversarial activity that may evade traditional detection methods.
YARA Rule
rule APT1_known_malicious_RARSilent
{
meta:
author = "AlienVault Labs"
info = "CommentCrew-threat-apt1"
strings:
$str1 = "Analysis And Outlook.doc" wide ascii
$str2 = "North Korean launch.pdf" wide ascii
$str3 = "Dollar General.doc" wide ascii
$str4 = "Dow Corning Corp.pdf" wide ascii
condition:
1 of them and APT1_RARSilent_EXE_PDF
}
This YARA rule can be deployed in the following contexts:
This rule contains 4 string patterns in its detection logic.
Scenario: Scheduled system backup using Veeam Backup & Replication
Filter/Exclusion: process.name != "vbm.exe" OR process.name != "vagent.exe"
Scenario: Admin performing a Windows Update or Group Policy refresh
Filter/Exclusion: process.name != "wuauclt.exe" AND process.name != "gupdate.exe"
Scenario: Running a PowerShell script for routine system monitoring or log analysis
Filter/Exclusion: process.name != "powershell.exe" OR script_name NOT LIKE "%monitoring%"
Scenario: Using SQL Server Agent to execute maintenance jobs
Filter/Exclusion: process.name != "sqlagent.exe" OR process.name != "sqlservr.exe"
Scenario: Executing a Python script for data processing or reporting
Filter/Exclusion: process.name != "python.exe" OR script_path NOT LIKE "%data_processing%"