This hunt investigates potential Liu Xing Ping malware activity by leveraging a specific YARA signature to identify known malicious patterns within endpoint telemetry. Proactive hunting for this indicator is essential in Azure Sentinel to detect early-stage infections that may evade standard heuristic-based detections due to their low severity classification and evolving threat landscape.
rule NsPacKV31LiuXingPing
{
meta:
author="malware-lu"
strings:
$a0 = { 9C 60 E8 00 00 00 00 5D 83 ED 07 8D 9D [4] 8A 03 3C 00 74 }
condition:
$a0 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the NsPacKV31LiuXingPing detection rule, along with recommended filters and exclusions:
Scenario: Antivirus Engine Self-Scanning
falcon.sys or MsMpEng.exe) spawns child processes that match the YARA signature patterns of the LiuXingPing behavior.falcon.sys or MsMpEng.exe.Scenario: Automated Patch Deployment via SCCM
ccmexec.exe) extracts and installs updates, triggering file system changes and process creation that mimic the rule’s detection logic for legitimate software installation activities.TaskSequence or the parent process name is ccmexec.exe. Additionally, whitelist the specific SCCM deployment agent path (e.g., C:\Windows\CCM\).Scenario: Database Backup Utility Execution
veeamagent.exe) creates temporary snapshot files and spawns helper processes that exhibit the same memory footprint and file access patterns as the target rule.Veeam service group or