Advanced Windows Memory Dump Analysis with Data Structures: Training Course Transcript and WinDbg Practice...

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Dmitry Vostokov Software Diagnostics Services

Advanced Windows Memory Dump Analysis with Data Structures

Training Course Transcript and WinDbg Practice Exercises with Notes, Fourth Edition

Dmitry Vostokov, Software Diagnostics Services

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English

Opentask
13 March 2022

Microsoft Windows; Microsoft programming; Computer security

Series: Windows Internals Supplements

The full-color transcript of Software Diagnostics Services training course with 15 step-by-step exercises, notes, and selected questions and answers. Learn how to navigate through memory dump space and Windows data structures to diagnose, troubleshoot and debug complex software incidents. The training uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. It consists of practical step-by-step exercises using WinDbg to diagnose structural and behavioral patterns in the 64-bit kernel and complete (physical) memory dumps. Additional topics include memory search, kernel linked list navigation, practical WinDbg scripting, registry, system variables and objects, device drivers, and I/O. Prerequisites are basic and intermediate level Windows memory dump analysis: the ability to list processors, processes, threads, modules, apply symbols, walk through stack traces and raw stack data, diagnose patterns such as heap corruption, CPU spike, memory leaks, access violation, wait chains and deadlocks. If you don't feel comfortable with prerequisites then Accelerated Windows Memory Dump Analysis training book is recommended before purchasing and reading this book course. Audience: Software technical support and escalation engineers, system administrators, security researchers, reverse engineers, malware and memory forensics analysts, software developers, and quality assurance engineers. The 4th edition was fully reworked to use the latest WinDbg and now covers memory dumps from Windows 11. Three new exercises were added and the previous ones now have improved command syntax and color highlighting. This edition also includes a possibility to use a Docker WinDbg image with required symbol files instead of a local Debugging Tools for Windows installation.

By: Dmitry Vostokov, Software Diagnostics Services
Imprint: Opentask
Edition: 4th ed.
Dimensions: Height: 279mm, Width: 216mm, Spine: 19mm
Weight: 948g
ISBN: 9781912636990
ISBN 10: 1912636999
Series: Windows Internals Supplements
Pages: 294
Publication Date: 13 March 2022
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline (Systematic Software Diagnostics), and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.