This hunt hypothesis posits that adversaries are leveraging C#-based red and black team tools within the environment, identifiable by unique TypeLib GUID signatures often associated with known security utilities. Proactively hunting for these artifacts in Azure Sentinel is critical to distinguish legitimate security operations from potential adversary tooling masquerading as benign administrative or testing software.
rule HKTL_NET_GUID_BYTAGE {
meta:
description = "Detects c# red/black-team tools via typelibguid"
reference = "https://github.com/KNIF/BYTAGE"
author = "Arnim Rupp"
date = "2020-12-13"
strings:
$typelibguid0 = "8e46ba56-e877-4dec-be1e-394cb1b5b9de" ascii nocase wide
condition:
(uint16(0) == 0x5A4D and uint32(uint32(0x3C)) == 0x00004550) and any 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 Detects C# Red/Black-Team Tools via TypelibGUID rule, including suggested filters and exclusions:
Scenario: Automated CI/CD Pipeline Build Agents
System.Runtime or specific testing frameworks such as NUnit or xUnit) which generate unique TypeLibGUIDs that overlap with known security tool signatures.dotnet.exe, msbuild.exe, JenkinsAgent.exe) running under a service account (e.g., NT SERVICE\BuildService or specific CI user groups) rather than an interactive user.Scenario: Scheduled Office 365/Teams Proactive Maintenance
\Microsoft Teams\ or \Office16\, specifically targeting processes like TeamsUpdate.exe or Outlook.exe.Scenario: Enterprise Endpoint Detection and Response (EDR) Self-Scanning