This hunt targets the presence of the SQLCracker.exe utility within the environment to identify potential reconnaissance or lateral movement activities associated with the Chinese Hacktool threat set. Proactively searching for this file in Azure Sentinel is critical because its low-severity classification may cause it to be overlooked by automated alerts, yet its execution could signal early-stage adversary infrastructure establishment requiring manual validation.
rule SQLCracker {
meta:
description = "Chinese Hacktool Set - file SQLCracker.exe"
author = "Florian Roth"
reference = "http://tools.zjqhr.com/"
date = "2015-06-13"
hash = "1aa5755da1a9b050c4c49fc5c58fa133b8380410"
strings:
$s0 = "msvbvm60.dll" fullword ascii /* reversed goodware string 'lld.06mvbvsm' */
$s1 = "_CIcos" fullword ascii
$s2 = "kernel32.dll" fullword ascii
$s3 = "cKmhV" fullword ascii
$s4 = "080404B0" fullword wide
condition:
uint16(0) == 0x5a4d and filesize < 125KB and all of them
}
This YARA rule can be deployed in the following contexts:
This rule contains 5 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the Chinese Hacktool Set - file SQLCracker.exe detection rule, tailored for a legitimate enterprise environment:
Automated Database Patching via SCCM/MECM
SQLCracker.exe from the vendor’s installation package on domain-joined workstations during off-hours.ccmexec.exe (SCCM Agent) or TaskSchedulerService.exe, specifically when the file path resides in a known software distribution folder (e.g., C:\Windows\CCMCache\).Third-Party SQL Monitoring and Performance Tuning
SQLCracker.exe as a background diagnostic agent. This tool runs continuously to capture query execution plans and identify blocking issues on production SQL instances.SQLCracker.exe (verified against the vendor’s official release notes) running under the service account context (e.g., NT SERVICE\RedgateMonitor).Legacy ERP Migration and Data Integrity Checks
SQLCracker.exe. This tool is used to validate foreign key constraints and index fragmentation before moving large datasets between environments.