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Mastering Reverse Engineering with Frida

From Fundamentals to Advanced Dynamic Instrumentation

Mastering Reverse Engineering with Frida
This book is 100% completeLast updated on 2026-11-06

Go beyond the basics of reverse engineering and learn how to uncover what software really does. From CPU execution and memory fundamentals to advanced Frida internals, this book takes you through practical techniques for analyzing and manipulating real-world applications across Android, iOS, Windows, Linux and macOS.

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About

About

About the Book

This book teaches you to reverse engineer real-world software using Frida, progressing systematically from foundational computer science concepts to professional-grade dynamic instrumentation techniques. Every chapter builds on the last, combining deep technical explanations of underlying mechanisms with complete, working implementations you can use immediately. After reading this book, you will understand how programs execute at the CPU and memory level, how Frida's instrumentation engine works internally and how to analyze and manipulate applications on Android, iOS, Windows, Linux and macOS with precision and confidence.

Author

About the Author

Steve Publications

Steve is a technology professional with more than 20 years of experience spanning software development, server infrastructure, cybersecurity, vulnerability research and reverse engineering. His work focuses on understanding complex systems, uncovering security weaknesses and developing practical solutions that make technology more secure, reliable and effective.

Through Steve Publications, he collaborates with experienced researchers, engineers and industry experts to create practical, technically rigorous books on various topics not limited to self-improvement, software development, cybersecurity, cloud computing, DevOps, artificial intelligence and enterprise technologies. His mission is to make complex technical subjects accessible through clear explanations, real-world examples and hands-on exercises that help IT professionals, students and technology enthusiasts build valuable, practical skills.

Steve Publications embraces AI as a supporting tool for translation, proofreading and editorial refinement, not as a substitute for original research, technical expertise, or hands-on experience. Some contributors choose to publish under pseudonyms to protect their privacy or maintain professional boundaries.

Behind every book is a commitment to technical accuracy, practical relevance and continuous improvement. Our publications are written, reviewed and maintained by experienced professionals, with support from a private community of more than 420 engineers and researchers. Rather than prioritizing volume or mass-produced AI-generated content, we focus on delivering reliable, useful resources that readers can apply in real-world environments.

We also welcome experienced professionals who want to share their knowledge by writing or reviewing books, particularly in specialized and emerging technology fields. If you have expertise to contribute, we invite you to get in touch and explore opportunities to collaborate.

Our commitment is simple: To deliver books that respect our readers' time, support their professional growth and provide lasting practical value. If a book does not meet your expectations, Leanpub offers a 60-day money-back guarantee.

Contents

Table of Contents

From Fundamentals to Advanced Dynamic Instrumentation

Introduction

Chapter 1: The Art and Science of Reverse Engineering

  1. What Is Reverse Engineering
  2. Static Versus Dynamic Analysis
  3. The Threat Modeling Perspective
  4. Legal and Ethical Boundaries
  5. Prerequisites and Setup for This Book

Chapter 2: How Programs Execute - CPU Architectures and Assembly

  1. x86 and x86-64 Fundamentals
  2. ARM32 and ARM64 Essentials
  3. Registers, Flags and State
  4. Instruction Encoding and Execution
  5. Calling Conventions Across Platforms

Chapter 3: Executable Formats and Binary Layout

  1. ELF Format Deep Dive
  2. PE Format Deep Dive
  3. Mach-O Format Deep Dive
  4. Memory Mapping and Segmentation
  5. Symbols, Relocations and Export Tables

Chapter 4: Process Architecture and Virtual Memory

  1. Virtual Memory and Address Spaces
  2. The Stack, Heap and Data Segments
  3. Pointers, Addresses and Memory Layouts
  4. Threads and Concurrency
  5. System Calls and Kernel Boundaries

Chapter 5: Dynamic Linking and Shared Libraries

  1. The Dynamic Linker
  2. Shared Objects and DLL Loading
  3. Procedure Linkage Tables and Relocations
  4. Runtime Symbol Resolution
  5. Late Binding and Hooking Implications

Chapter 6: Application Runtimes and Managed Code

  1. The Java Virtual Machine Model
  2. Dalvik and ART on Android
  3. Objective-C Runtime and Method Dispatch
  4. Swift and Its Compatibility Layer
  5. .NET CLR and Managed-to-Native Boundaries

Chapter 7: Inside Frida - Architecture and Design

  1. The Frida Component Model
  2. Gum: The Instrumentation Engine
  3. GumJS and JavaScript Binding
  4. Message Passing and RPC
  5. Injection Mechanisms Across Platforms

Chapter 8: Installing and Configuring Frida

  1. Installing the Host Environment
  2. Setting Up Target Devices and Emulators
  3. Android Environment Configuration
  4. iOS and Jailbreak Setup
  5. Windows, Linux and macOS Deployment

Chapter 9: Scripting Foundations and the Frida API

  1. The Frida JavaScript Environment
  2. Process API and Memory API Basics
  3. Module Discovery and Symbol Resolution
  4. Debugging and Logging Patterns
  5. Common Scripting Anti-Patterns

Chapter 10: Interceptor - The Hooking Core

  1. How Inline Hooking Works
  2. Replacing and Tramping Functions
  3. Argument Inspection and Modification
  4. Return Value Manipulation
  5. Recursive Hooking and Performance

Chapter 11: Stalker - Instruction-Level Tracing

  1. Tracing Versus Hooking
  2. Configuring Stalker Transforms
  3. Building Custom Trace Outputs
  4. Call Stack Reconstruction
  5. Performance and Practical Limits

Chapter 12: Memory Instrumentation and Scanning

  1. Reading and Writing Memory Safely
  2. Pattern Scanning and Byte Searching
  3. String Detection and Extraction
  4. Allocating and Injecting Native Code
  5. Memory Protection and Page Permissions

Chapter 13: Native Function Calls and Pointer Manipulation

  1. NativeFunction and Function Signatures
  2. Constructing and Passing Structs
  3. Pointer Arithmetic and Offsets
  4. Callbacks and Function Pointers
  5. Handling Errors and Exceptions

Chapter 14: Reverse Engineering Android Applications

  1. Android Application Architecture
  2. Hooking Java Methods with Frida
  3. JNI Bridge Analysis and Instrumentation
  4. Native Library and So File Analysis
  5. Android-Specific Anti-Analysis Techniques

Chapter 15: Reverse Engineering iOS Applications

  1. iOS Application Architecture and Security
  2. Objective-C Runtime Instrumentation
  3. Dylib Loading and Symbol Resolution
  4. Swift Binary Analysis Considerations
  5. iOS Security Boundaries and Bypasses

Chapter 16: Windows Binary Analysis with Frida

  1. Windows Executable and DLL Architecture
  2. Win32 API Monitoring and Hooking
  3. PE File Analysis and Export Scanning
  4. Process Creation and Spawn Instrumentation
  5. Integration with Windows Debugging Tools

Chapter 17: Linux and macOS Binary Analysis

  1. Linux ELF Binary Instrumentation
  2. System Call and Library Hooking on Linux
  3. macOS Mach-O Analysis and DYLD Behavior
  4. Sandboxing and Security Extensions
  5. Cross-Platform Instrumentation Challenges

Chapter 18: Detecting and Evading Anti-Analysis

  1. Anti-Debugging Techniques
  2. Root and Jailbreak Detection
  3. Integrity Checks and Tamper Detection
  4. Frida-Specific Detection Methods
  5. Defense Evasion in Authorized Testing

Chapter 19: Cryptographic and Network Analysis

  1. Cryptographic API Monitoring
  2. Key and IV Extraction Techniques
  3. TLS Pinning and Certificate Analysis
  4. Network Traffic Inspection with Frida
  5. Protocol Reverse Engineering

Chapter 20: Advanced Scripting and Automation

  1. RPC Exports and Remote Procedure Calls
  2. Python and Node.js Controller Scripts
  3. Asynchronous and Event-Driven Instrumentation
  4. Building Reusable Instrumentation Libraries
  5. Performance Optimization Techniques

Chapter 21: Integration with Reverse Engineering Ecosystems

  1. Frida and Ghidra Integration
  2. IDA Pro Dynamic Analysis Bridge
  3. radare2 and r2frida Workflows
  4. JADX and Static-Dynamic Correlation
  5. Debugger Integration: LLDB and GDB

Chapter 22: Case Studies - Real-World Reverse Engineering

  1. Case Study: Android Application License Bypass Analysis

Find libnative.so in extracted/lib/arm64-v8a/

  1. Case Study: Malware Behavior Analysis
  2. Case Study: Proprietary Protocol Reverse Engineering
  3. Case Study: iOS Application Security Audit
  4. Case Study: Windows Application Vulnerability Research

Chapter 23: Professional Practice and Future Directions

  1. Documentation and Reporting Standards
  2. Team Workflows and Tool Standardization
  3. Continuous Instrumentation and CI Integration
  4. Emerging Platforms and Architectures
  5. The Future of Dynamic Instrumentation

Conclusion

References

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