Practical Foundations of Windows Debugging, Disassembling, Reversing
Training Course, Third Edition
- Paperback
180 pages
- Release Date
22 August 2025
Summary
This training course is a reformatted, improved, and modernized version of the previous x64 Windows Debugging: Practical Foundations book, which drew inspiration from the original lectures developed 22 years ago to train support and escalation engineers in debugging and crash dump analysis of memory dumps from Windows applications, services, and systems. At that time, a solid understanding of fundamentals like pointers was realized as necessary to analyze stack traces beyond a few WinDbg comm…
Book Details
| ISBN-13: | 9781912636471 |
|---|---|
| ISBN-10: | 1912636476 |
| Author: | Dmitry Vostokov, Software Diagnostics Services, Dublin School of Security |
| Publisher: | Opentask |
| Imprint: | Opentask |
| Format: | Paperback |
| Number of Pages: | 180 |
| Edition: | 3rd |
| Release Date: | 22 August 2025 |
| Weight: | 590g |
| Dimensions: | 12mm x 216mm x 279mm |
Dmitry Vostokov
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics and Observability Institute. Vostokov has authored over 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 over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing and Software Diagnostics Technology and Services (former Memory Dump Analysis Services). In his spare time, he explores Software Narratology and Quantum Software Diagnostics. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, 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 functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.
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