Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
windows_tools
windows_first
Summary
The documentation shows a mild Windows bias, primarily in the artifact parameters table, where parameters related to Windows VM Administrator group management and Windows-specific extensions (e.g., Microsoft IaaSAntimalware extension) are present. Windows VM examples (e.g., lists of users for Administrators group) are described in detail, while Linux equivalents (such as sudoers or admin group management) are not mentioned. However, Linux VM and VMSS artifacts are included, and there are parameters for both Windows and Linux VM images and Log Analytics workspaces. No PowerShell-specific instructions or Windows-only deployment steps are present, and the UI-based instructions are platform-neutral.
Recommendations
  • Add equivalent Linux admin group management parameters and documentation (e.g., managing sudoers or admin group membership for Linux VMs).
  • Provide examples or notes for Linux VM security controls where only Windows controls are described (e.g., password complexity, admin group membership).
  • Ensure parity in extension deployment descriptions (e.g., mention Linux antimalware or endpoint protection extensions if available).
  • Clarify in the documentation which controls apply to Windows, Linux, or both, and provide links to Linux-specific guidance where relevant.
GitHub Create Pull Request

Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2026-01-06 18:15 #225 cancelled Clean Clean
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Biased Biased