Extended Windows Memory Dump Analysis
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Extended Windows Memory Dump Analysis

Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Machine Learning and AI, Second Edition

About the Book

The book contains the full Software Diagnostics Services training transcript with 25 hands-on exercises. This training course extends pattern-oriented analysis introduced in Accelerated Windows Memory Dump AnalysisAccelerated .NET Core Memory Dump Analysis, and Advanced Windows Memory Dump Analysis with Data Structures courses with:

  • Surveying the current landscape of WinDbg extensions with analysis pattern mappings
  • Writing WinDbg extensions in C, C++, and Rust (new)
  • Connecting WinDbg to NoSQL databases
  • Connecting WinDbg to streaming and log processing platforms
  • Querying and visualizing WinDbg output data
  • Using Data Science, Machine Learning, and Gen AI for diagnostics and postmortem debugging (new)

The new edition of the training updates existing and includes new exercises.

Prerequisites: Working knowledge of WinDbg. Working knowledge of C, C++, or Rust is optional (required only for some exercises). Other concepts are explained when necessary.

Audience: Software developers, software maintenance engineers, escalation engineers, quality assurance engineers, security and vulnerability researchers, malware and memory forensics analysts who want to build memory analysis pipelines.

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    • C and C++
    • Computer Security
    • Operating System Development
    • Software Engineering
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    • Python
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About the Author

Dmitry Vostokov
Dmitry Vostokov

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, 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, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.

Table of Contents

About the Author 5

Introduction 7

Practice Exercises 17

Exercise E0: Download, set up, and verify your WinDbg or Debugging Tools for Windows installation or Docker Debugging Tools for Windows image 21

Exercise ES1: Explore Patterns WinDbg Extension 35

Exercise ES2: Explore MEX WinDbg Extension 41

Exercise ES3: Explore DbgKit WinDbg Extension 63

Exercise ES4: Explore win32kext WinDbg Extension 105

Exercise ES5: Explore SwishDbgExt WinDbg Extension 112

Exercise ES6: Explore 0cchext WinDbg Extension 132

Exercise ES7: Explore pykd WinDbg Extension 144

Exercise ES8: Explore snapshot WinDbg Extension 175

Exercise ES9: Explore WinDbg Copilot 189

Exercise ES10: Explore ChatDBG WinDbg Extension 206

Exercise EW1: Writing WinDbg Extension (WdbgExts C API) 222

Exercise EW2: Writing WinDbg Extension (DbgEng COM API) 237

Exercise EW3: Writing WinDbg Extension (ExtExtension C++ API) 251

Exercise EW4: Writing WinDbg Extension (Rust) 264

Exercise EP1: Install Kafka Environment 274

Exercise EP2: Connect WinDbg to Kafka 277

Exercise EP3: Configure Kafka Connect to Send WinDbg Output 281

Exercise ED1: Install MongoDB Environment 290

Exercise ED2: Connect WinDbg to MongoDB 297

Exercise EV1: Install Jupyter Notebook Environment 307

Exercise EV2: Execution Residue Visualization 316

Exercise EV3: Find Anomalies in Stack Traces 332

Exercise ML1: Compute Similarity of Stack Traces 340

Exercise ML2: Group Stack Traces into Clusters 344

Exercise ML3: Identify Anomalous Stack Traces 347

Conclusion 355

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