Windows Forensics: Analyzing Local User Accounts for Evidence

Local user accounts are often the primary target or entry point for unauthorized access on Windows systems. Understanding how to investigate these accounts is a fundamental skill for any digital forensics professional, security analyst, or system administrator. This text-based course guides you through the essential techniques needed to systematically audit and analyze Windows local user accounts for forensic evidence. By completing this course, you will understand how to locate hidden account details, trace user activity, and identify security anomalies. You will progress from learning foundational Windows security concepts to analyzing critical registry hives and event logs through clear, written explanations and guided scenarios. What you'll learn: - Understand the fundamental structure of Windows local user accounts and Security Identifiers (SIDs). - Locate and extract critical user metadata from the Windows Registry, specifically the SAM and SYSTEM hives. - Analyze account creation dates, last login times, and password change histories to build an accurate forensic timeline. - Identify hidden or unauthorized user accounts created during security breaches. - Correlate user account details with Windows Security Event Logs to track successful and failed logon events. - Apply modern security auditing principles to detect unauthorized privilege escalation. The course begins with foundational definitions of Windows account architecture before moving into step-by-step written walkthroughs of registry analysis and log examination. You will practice applying these investigative techniques through structured written scenarios designed to simulate real-world forensic investigations. This course is designed for beginner cybersecurity students, aspiring digital forensics examiners, and IT administrators looking to build their investigative skills. No prior forensic experience is required to begin. Start reading today to master the essentials of Windows user account forensics.