This detection identifies potential code signing anomalies where executables exhibit characteristics of pseudo-signers or anomalous digital signatures that may indicate supply chain compromise or certificate abuse. Proactive hunting for this behavior in Azure Sentinel is critical to uncover stealthy adversaries leveraging forged identities to bypass standard security controls and establish a foothold within the environment.
rule PseudoSigner02FSG10Anorganix
{
meta:
author="malware-lu"
strings:
$a0 = { 90 90 90 90 68 [4] 67 64 FF 36 00 00 67 64 89 26 00 00 F1 90 90 90 90 BB D0 01 40 00 BF 00 10 40 00 BE 90 90 90 90 53 E8 0A 00 00 00 02 D2 75 05 8A 16 46 12 D2 C3 FC B2 80 A4 6A 02 5B }
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 PseudoSigner02FSG10Anorganix detection rule, including suggested filters and exclusions tailored for an enterprise environment:
Scenario: Automated Antivirus Definition Updates via Windows Update
wuauserv.exe) or the Microsoft Defender Antivirus engine (MsMpEng.exe) frequently downloads and installs signature definition updates. These updates often contain embedded pseudo-signatures that match the PseudoSigner02FSG10Anorganix pattern, triggering alerts during scheduled maintenance windows (e.g., Tuesday 3:00 AM).Microsoft-Windows-Update-Agent service context or filter by process name wuauserv.exe and MsMpEng.exe. Additionally, add a time-based exclusion for the specific maintenance window (e.g., 02:00–05:00).Scenario: Endpoint Detection and Response (EDR) Agent Self-Scanning
C-Drive.exe, SentinelOne.exe, cbengine.exe) and their installation paths (typically C:\Program Files\...). Ensure the rule ignores events where the parent process is the EDR service itself.Scenario: Scheduled PowerShell Script Execution for Compliance Reporting