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
powershell_heavy
windows_tools
windows_first
missing_linux_example
Summary
The documentation page demonstrates a Windows bias in several ways: it frequently references Windows-specific tools and technologies (such as PowerShell and WMI), and focuses on Microsoft Defender for Endpoint, which is primarily a Windows-centric solution. Examples of suspicious activity are almost exclusively described in terms of Windows tools (PowerShell, WMI) and Microsoft cloud services, with no mention of Linux equivalents (such as Bash, SSH, systemd, or Linux-native credential theft tools). There are no examples or scenarios that reference Linux-specific attack patterns, tools, or detection methods, and the documentation does not provide parity for Linux environments in its threat descriptions or incident scenarios.
Recommendations
  • Include Linux-specific scenarios, such as suspicious Bash or SSH activity, or use of Linux-native credential theft tools (e.g., LaZagne, John the Ripper).
  • Add examples of attacks leveraging Linux system utilities (e.g., cron jobs, systemd services, sudo misuse) and describe how these would be detected by Sentinel Fusion.
  • Reference Microsoft Defender for Endpoint's Linux capabilities and clarify how incidents are detected on Linux hosts.
  • Provide parity in incident descriptions by including Linux and macOS attack vectors and detection methods alongside Windows examples.
  • Expand the scope of suspicious command execution scenarios to include Linux shells and scripting environments (e.g., suspicious Bash scripts, Python execution).
  • Mention Linux-specific MITRE ATT&CK techniques and how Sentinel Fusion correlates signals from Linux endpoints.
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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 Clean Clean
2025-07-12 23:44 #41 cancelled Biased Biased