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Mastering Frida

Dynamic Instrumentation, Reverse Engineering and Security Testing with frida.re

This book is 100% completeLast updated on 2026-08-15

Get inside running software and see what it’s really doing. Mastering Frida takes you from your first hook to building serious instrumentation tools for Windows, Linux, macOS, Android and iOS. Learn how Frida works under the hood, where platforms differ and how to use its power without getting burned.

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About

About

About the Book

This book takes you from your first `frida-ps` command to building production-quality instrumentation tools on top of Frida, the open source dynamic instrumentation toolkit at the center of modern reverse engineering and security testing workflows. Every concept is grounded in how things actually work: what happens inside a process when a hook is installed, why the host/agent split exists, how the native API surface maps to operating system primitives and where each platform (Windows, Linux, macOS, Android, iOS) diverges. Examples run against software you own or are explicitly authorized to test, and every chapter explains not just what an API does but when to reach for it, what it costs and what breaks when you use it wrong.

Author

About the Author

Steve Publications

Steve is a technology professional with more than 20 years of experience in software development, server infrastructure, cybersecurity, vulnerability research and reverse engineering. Throughout his career, he has designed, secured, analyzed and tested complex software and infrastructure, with a particular focus on understanding how systems fail and how they can be made more secure.

Outside of work, Steve enjoys sharing knowledge with the technology community. He collaborates with researchers, industry experts and technology professionals to write practical books covering software development, cybersecurity, cloud computing, networking, DevOps, artificial intelligence and enterprise technologies. His books focus on practical learning through clear explanations, real-world examples and hands-on exercises. With more than two decades of industry experience, his goal is to help IT professionals, students and technology enthusiasts build useful skills and stay current in a rapidly changing industry.

We believe readers deserve to know how our books are created. Most of our authors are not native English speakers, so we use AI to help translate, proofread manuscripts, fix grammar, improve sentence structure and make technical explanations easier to read. AI is used as an editing tool only. It does not replace the research, technical knowledge or hands-on experience behind our books. Some of our authors also prefer to remain anonymous for privacy or professional reasons. In those cases, we publish their work under a different name. The author's name may be different, but the quality of the content and our review process remain the same.

Every book is written, reviewed and maintained by experienced technology professionals, with contributions from our private technical community of more than 420 engineers and researchers. We spend far more time validating technical accuracy and keeping our content up to date than generating text. We are always interested in working with experienced professionals who have deep expertise in a particular technology or domain. If you would like to publish a book with us or help review an existing manuscript, we'd love to hear from you. Send us a message describing your area of expertise. We are especially interested in niche technologies, specialized skills and emerging topics that are underrepresented in existing technical literature.

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Contents

Table of Contents

Dynamic Instrumentation, Reverse Engineering and Security Testing with frida.re

Introduction: The Art of Asking a Running Program Questions

  1. What this book promises
  2. How the book is organized
  3. Authorization, ethics, and the boundaries of this book
  4. What you need to get started
  5. Prerequisites and how to read

Part I: Foundations

Chapter 1: The Process You Can’t Stop: Dynamic Instrumentation Fundamentals

  1. Static vs Dynamic Analysis
  2. What Happens Inside a Running Process
  3. Operating-System Injection Primitives

Chapter 2: Frida’s Architecture and Ecosystem

  1. The Host-Agent Model
  2. Component Tour
  3. Supported Platforms and Build Targets
  4. Terminology and Versioning

Chapter 3: Building Your Instrumentation Lab

  1. Host Installation on Desktop Platforms
  2. Android Lab: Emulator, Root, and Targets
  3. iOS Lab Options
  4. Verifying the Stack and Laying Out Your Workspace

Part II: Core Skills

Chapter 4: The CLI and the REPL

  1. Reading Processes: frida-ps and Friends
  2. Attaching and Spawning from the Command Line
  3. The Interactive REPL
  4. Script Injection with -e and -l

Chapter 5: Your First Agent: JavaScript on the Other Side

  1. The Agent Runtime and Its Constraints
  2. Messaging: send, recv, and Post
  3. RPC Exports in Both Directions
  4. Structuring Reusable Agents (JavaScript and TypeScript)

Chapter 6: Processes, Modules, and Threads

  1. The Process Object and System Topology
  2. Modules: Where Code Lives at Runtime
  3. Threads and Backtraces
  4. Spawn Versus Attach: Timing the Instrumentation

Chapter 7: Memory: Reading, Scanning and Writing

  1. Pointers and the Memory Model
  2. Reading and Writing Primitives and Strings
  3. Scanning and Enumeration
  4. Protection, Allocation, and Lifetimes

Part III: Instrumentation Core

Chapter 8: Interceptor: Hooking Native Functions

  1. attach: Observing Calls
  2. replace and implement: Rewriting Behavior
  3. Hooking C++ Members and Vtables
  4. Mistakes, Deadlocks, and Safer Alternatives

Chapter 9: Calling Native Code — NativeFunction and NativeCallback

  1. NativeFunction: The Signature System
  2. Calling Conventions and Structs
  3. NativeCallback: Giving Native Code a Callback
  4. Pitfalls: Reentrancy, Lifetimes, and Errors

Chapter 10: Stalker — Control-Flow Tracing

  1. Following Execution
  2. Events: Instructions, Blocks, Slices
  3. Transforms: Instrumenting the Trace Itself
  4. Costs, Limits, and Practical Use

Part IV: Platform Instrumentation

Chapter 11: Android and Java

  1. Running Frida on Android
  2. The Java Bridge and the VM Lock
  3. Hooking Java Methods
  4. Finding Classes, Instances, and Native Boundaries

Chapter 12: iOS and Objective-C

  1. The Objective-C Runtime and Frida
  2. Running Frida on iOS
  3. Hooking and Swizzling Objective-C Methods
  4. Swift Interop and Limitations

Chapter 13: Desktop, Server-Side, and Remote Instrumentation

  1. Windows Instrumentation
  2. Linux and macOS Servers
  3. Remote Devices and Networked frida-server
  4. Server-Side Use Cases: Daemons, CI, and Automation

Part V: Engineering with Frida

Chapter 14: The Python Bindings — Host-Side Engineering

  1. Devices and Sessions in Python
  2. Scripts and Messages from the Host
  3. RPC from Python
  4. Building a Small Instrumentation Tool

Chapter 15: Production-Quality Frida Tooling

  1. Agent Architecture That Survives
  2. Performance Optimization
  3. Reliability and Failure Modes
  4. Detection, Safety, and Authorization
  5. Keeping Your Tooling Current

Conclusion: From Hook to Habit

Appendix A: Command Quick Reference

  1. Tool overview
  2. frida (REPL/runner) key flags [13, 49]
  3. frida-ps flags [14]
  4. frida-trace key flags [15]

Appendix B: API Quick Reference in Context

  1. Process / Thread / Module
  2. Memory / pointers
  3. Interceptor / NativeFunction / NativeCallback / Stalker
  4. Java bridge (Android; import frida-java-bridge since 17) [9, 11]
  5. Objective-C bridge (iOS/macOS; import frida-objc-bridge since 17) [9, 11]
  6. Messaging / RPC (agent side) [19]

Appendix C: Systematic Troubleshooting Reference

  1. Stage 1: Installation and versions
  2. Stage 2: Connecting and attaching
  3. Stage 3: Hooks not firing
  4. Stage 4: Crashes and corruption
  5. Stage 5: Messaging and performance
  6. Stage 6: Platform-specific

Appendix D: Glossary

References

  1. Where Frida Fits in the Landscape

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