Accelerated Disassembly, Reconstruction and Reversing: Training Course Transcript and WinDbg Practice Exercises with Memory Cell Diagrams, Revised Edition

Author:   Dmitry Vostokov ,  Software Diagnostics Services
Publisher:   Opentask
Edition:   Revised ed.
ISBN:  

9781908043757


Pages:   212
Publication Date:   25 December 2021
Format:   Paperback
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Accelerated Disassembly, Reconstruction and Reversing: Training Course Transcript and WinDbg Practice Exercises with Memory Cell Diagrams, Revised Edition


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Overview

The book contains the full transcript of Software Diagnostics Services training. Learn disassembly, execution history reconstruction and binary reversing techniques for better software diagnostics, troubleshooting and debugging on x64 Windows platforms. The course uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The training consists of practical step-by-step hands-on exercises using WinDbg and memory dumps. Covered more than 25 ADDR patterns, and many concepts are illustrated with Memory Cell Diagrams. The prerequisites for this training are working knowledge of C and C++ programming languages. Operating system internals and assembly language concepts are explained when necessary. The primary audience for this training is software technical support and escalation engineers who analyze memory dumps from complex software environments and need to go deeper in their analysis of abnormal software structure and behavior. The course is also useful for software engineers, quality assurance and software maintenance engineers who debug software running on diverse computer environments, security researchers, malware and memory forensics analysts who have never used WinDbg for analysis of computer memory. The revised edition uses the latest WinDbg 10 version, has three exercises completely redone with Windows 10 memory dumps, improved formatting, and also includes reprinted memory analysis patterns and techniques from Memory Dump Analysis Anthology referenced in the book.

Full Product Details

Author:   Dmitry Vostokov ,  Software Diagnostics Services
Publisher:   Opentask
Imprint:   Opentask
Edition:   Revised ed.
Dimensions:   Width: 21.60cm , Height: 1.40cm , Length: 27.90cm
Weight:   0.694kg
ISBN:  

9781908043757


ISBN 10:   190804375
Pages:   212
Publication Date:   25 December 2021
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, 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.

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