This hunt hypothesis targets adversary behavior characterized by the execution of specific assembly patterns identified by the RosAsm2050aBetov YARA signature, which may indicate early-stage malware or obfuscated code deployment within the environment. A SOC team should proactively hunt for this indicator in Azure Sentinel to uncover low-severity anomalies that could represent novel threats or initial footholds before they escalate into more severe incidents.
rule RosAsm2050aBetov
{
meta:
author="malware-lu"
strings:
$a0 = { 55 8B EC 60 8B 5D 08 B9 08 00 00 00 BF [4] 83 C7 07 FD 8A C3 24 0F 04 30 3C 39 76 02 04 07 AA C1 EB 04 E2 EE FC 68 00 10 00 00 68 [4] 68 [4] 6A 00 FF 15 [4] 61 8B E5 5D C2 04 00 }
condition:
$a0
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the RosAsm2050aBetov detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Scheduled Antivirus Database Updates
MsMpEng.exe or SymantecEngine.exe) and restrict detection to non-business hours (01:00–05:00 UTC) for these specific processes.Scenario: Automated Deployment via Configuration Management
C:\Windows\CCMCache or /tmp/ansible). This extraction activity frequently triggers the RosAsm signature due to the rapid creation of assembly artifacts.CCMCache, Ansible, or ChocolateyTemp. Additionally, filter alerts where the parent process is ccmsetup.exe or ansible-runner with a “Scheduled Task” trigger type.Scenario: CI/CD Pipeline Artifact Generation