This detection rule identifies anomalous authentication patterns associated with the Cerber5 adversary behavior, which may indicate early-stage reconnaissance or lateral movement attempts within the Azure environment. Proactively hunting for this signal is critical to validate potential false negatives in existing alerting logic and ensure that low-severity indicators are not overlooked before they escalate into significant security incidents.
rule cerber5{
meta:
author = "pekeinfo"
date = "2016-12-02"
description = "Cerber5"
strings:
$a = {83 C4 04 A3 ?? ?? ?? 00 C7 45 ?? ?? ?? ?? 00 8B ?? ?? C6 0? 56 8B ?? ?? 5? 68 ?? ?? 4? 00 FF 15 ?? ?? 4? 00 50 FF 15 ?? ?? 4? 00 A3 ?? ?? 4? 00 68 1D 10 00 00 E8 ?? ?? FF FF 83 C4 04 ?? ?? ??}
condition:
1 of them
}
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 Cerber5 detection rule in an enterprise environment, including recommended filters and exclusions:
Automated Patch Deployment via SCCM/Intune
CCMExec.exe (SCCM) or Microsoft.IntuneManagementExtension.exe context. Additionally, filter events occurring between 01:00 and 04:00 UTC where the source IP belongs to the internal patch management subnet (e.g., 10.20.30.0/24).Scheduled Antivirus Full Scans
FalconService.exe (CrowdStrike) or SentinelOneAgent.exe. Implement a rule to suppress alerts for file access patterns matching the specific scan signature hash list maintained by the AV vendor’s update feed.Database Backup Jobs via SQL Server Agent