Accelerated Linux Disassembly, Reconstruction and Reversing: Training Course Transcript and GDB Practice...

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Dmitry Vostokov Software Diagnostics Services

Accelerated Linux Disassembly, Reconstruction and Reversing

Training Course Transcript and GDB Practice Exercises with Memory Cell Diagrams, Second Edition...

Dmitry Vostokov, Software Diagnostics Services

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English

Opentask
03 May 2025

Linux; Computer viruses, Trojans & worms; Assembly languages

Series: Linux Internals Supplements

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, debugging, memory forensics, vulnerability, and malware analysis on x64 (x86_64) and A64 (ARM64, AArch64) Linux platforms. The course uses a unique and innovative pattern language approach to speed up the learning curve. The training consists of practical step-by-step, hands-on exercises using GDB and Linux core memory dumps. Covered more than 25 ADDR patterns originally introduced for the x64 Windows platform, and many concepts are illustrated with Memory Cell Diagrams. The prerequisites for this training are a 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 cloud and endpoint computer environments, SRE and DevSecOps, security and vulnerability researchers, and malware and memory forensics analysts who have never used GDB for analysis of computer memory. The book also features ADDR pattern descriptions summarized after each exercise. The second edition includes a review of relevant assembly language fundamentals and relevant differences between GCC and Clang.

By: Dmitry Vostokov, Software Diagnostics Services
Imprint: Opentask
Edition: 2nd ed.
Dimensions: Height: 279mm, Width: 216mm, Spine: 19mm
Weight: 916g
ISBN: 9781912636747
ISBN 10: 1912636743
Series: Linux Internals Supplements
Pages: 284
Publication Date: 03 May 2025
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 founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics and Observability Institute. Vostokov has also 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.