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_first
windows_tools
missing_linux_example
Summary
The documentation page demonstrates a Windows bias by exclusively referencing Windows Hyper-V as the hypervisor technology, with no mention of Linux-based hypervisors (such as KVM or Xen) or Linux-specific security practices. All technical descriptions, security objectives, and mitigation strategies are framed in the context of Windows tools and terminology, with no examples or guidance for Linux environments. The documentation assumes the reader is operating in a Windows-centric Azure environment and omits Linux parity in both conceptual and practical aspects.
Recommendations
  • Include references to Linux-based hypervisors (e.g., KVM, Xen) where relevant, especially for Azure environments that support Linux VMs.
  • Provide examples or explanations of how hypervisor security objectives and mitigations apply to Linux guests and host environments.
  • Mention Linux-specific security features (such as SELinux, AppArmor, or seccomp) and how they interact with Azure hypervisor security.
  • Clarify whether the described security boundaries and mitigations are applicable to Linux VMs and, if so, provide Linux-focused documentation links.
  • Add Linux command-line or configuration examples where appropriate, alongside Windows/Powershell examples.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Clean Clean
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
2025-07-12 23:44 #41 cancelled Biased Biased