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Fuzzing Against the Machine

You're reading from   Fuzzing Against the Machine Automate vulnerability research with emulated IoT devices on QEMU

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804614976
Length 238 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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Antonio Nappa Antonio Nappa
Author Profile Icon Antonio Nappa
Antonio Nappa
Eduardo Blázquez Eduardo Blázquez
Author Profile Icon Eduardo Blázquez
Eduardo Blázquez
Eduardo Blazquez Eduardo Blazquez
Author Profile Icon Eduardo Blazquez
Eduardo Blazquez
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations
2. Chapter 1: Who This Book is For FREE CHAPTER 3. Chapter 2: History of Emulation 4. Chapter 3: QEMU From the Ground 5. Part 2: Emulation and Fuzzing
6. Chapter 4: QEMU Execution Modes and Fuzzing 7. Chapter 5: A Famous Refrain: AFL + QEMU = CVEs 8. Chapter 6: Modifying QEMU for Basic Instrumentation 9. Part 3: Advanced Concepts
10. Chapter 7: Real-Life Case Study: Samsung Exynos Baseband 11. Chapter 8: Case Study: OpenWrt Full-System Fuzzing 12. Chapter 9: Case Study: OpenWrt System Fuzzing for ARM 13. Chapter 10: Finally Here: iOS Full System Fuzzing 14. Chapter 11: Deus Ex Machina: Fuzzing Android Libraries 15. Chapter 12: Conclusion and Final Remarks
16. Index 17. Other Books You May Enjoy

Full-system fuzzing – introducing TriforceAFL

As previously mentioned, TriforceAFL is a tool that combines the capabilities of two powerful tools, AFL and QEMU, to apply fuzzing at the kernel level of an OS. In this section, we will delve deeper into the internals of TriforceAFL to understand how it works.

AFL utilizes modified versions of gcc, g++, clang, or clang++ during compilation to instrument the code at the entrance and exits of basic code blocks. These basic blocks are pieces of code with no branches or other conditions that may divert the control flow and thus execute in sequence. This instrumentation makes it easier to understand crash dumps and backtrack the stack when the fuzzed program reports a crash. An instrumented binary contains the necessary code for applying fuzzing and tracking program edge cases for code coverage. Given a set of inputs, AFL executes the binary executable program and collects traces and possible crashes. AFL then applies different mutation...

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