This hunt hypothesis targets adversaries utilizing the specific malware signature identified by the “LamerStopv10ccStefanEsser” YARA rule to detect early-stage file-based threats within the environment. Proactively hunting for this low-severity indicator in Azure Sentinel allows the SOC team to identify potential initial access or execution activities before they escalate into more severe incidents, ensuring comprehensive coverage of known threat patterns.
rule LamerStopv10ccStefanEsser
{
meta:
author="malware-lu"
strings:
$a0 = { E8 [2] 05 [2] CD 21 33 C0 8E C0 26 [3] 2E [3] 26 [3] 2E [3] BA [2] FA }
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 LamerStopv10ccStefanEsser detection rule, along with recommended filters and exclusions:
Scenario: Scheduled Antivirus Definition Updates
MsMpEng.exe (Microsoft Defender), Cfsservice.exe (CrowdStrike), or Avpcc.exe (Kaspersky) specifically when running under the context of scheduled tasks named “Antivirus Update”.Scenario: Enterprise Software Deployment via SCCM/Intune
ccmexec.exe or intuneagent) may spawn temporary worker processes that extract installer files, triggering a match on the LamerStop signature due to similar file I/O patterns.ccmexec.exe (SCCM) or Microsoft.IntuneManagementExtension.exe, and the command line contains keywords such as “Install”, “Deploy”, or “Patch”.Scenario: Automated Database Backup Routines
Veeam Agent or native sqlagent runs, it creates temporary compressed artifacts in memory and on disk