Fuzzing against the machine : automate vulnerability research with emulated IoT devices on QEMU / 1st ed
| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046171924 | |
| 005 | 20240319100404 | |
| 008 | 240307s2023 enka 001 0 eng d | |
| 020 | ▼a 9781804614976 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.8 ▼2 23 |
| 084 | ▼a 005.8 ▼2 DDCK | |
| 090 | ▼a 005.8 ▼b N217f | |
| 100 | 1 | ▼a Nappa, Antonio. |
| 245 | 1 0 | ▼a Fuzzing against the machine : ▼b automate vulnerability research with emulated IoT devices on QEMU / ▼c Antonio Nappa, Eduardo Blazquez. |
| 250 | ▼a 1st ed. | |
| 260 | ▼a Birmingham : ▼b Packt Publishing, ▼c 2023. | |
| 300 | ▼a xx, 217 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a Internet of things ▼x Security measures ▼x Research ▼x Methodology. |
| 650 | 0 | ▼a Fuzzy algorithms. |
| 700 | 1 | ▼a Blazquez, Eduardo. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.8 N217f | 등록번호 121265781 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Find security flaws in any architecture effectively through emulation and fuzzing with QEMU and AFL
Purchase of the print or Kindle book includes a free PDF eBook
Key Features:
- Understand the vulnerability landscape and useful tools such as QEMU and AFL
- Explore use cases to find vulnerabilities and execute unknown firmware
- Create your own firmware emulation and fuzzing environment to discover vulnerabilities
Book Description:
Emulation and fuzzing are among the many techniques that can be used to improve cybersecurity; however, utilizing these efficiently can be tricky. Fuzzing Against the Machine is your hands-on guide to understanding how these powerful tools and techniques work. Using a variety of real-world use cases and practical examples, this book helps you grasp the fundamental concepts of fuzzing and emulation along with advanced vulnerability research, providing you with the tools and skills needed to find security flaws in your software.
The book begins by introducing you to two open source fuzzer engines: QEMU, which allows you to run software for whatever architecture you can think of, and American fuzzy lop (AFL) and its improved version AFL++. You'll learn to combine these powerful tools to create your own emulation and fuzzing environment and then use it to discover vulnerabilities in various systems, such as iOS, Android, and Samsung's Mobile Baseband software, Shannon. After reading the introductions and setting up your environment, you'll be able to dive into whichever chapter you want, although the topics gradually become more advanced as the book progresses.
By the end of this book, you'll have gained the skills, knowledge, and practice required to find flaws in any firmware by emulating and fuzzing it with QEMU and several fuzzing engines.
What You Will Learn:
- Understand the difference between emulation and virtualization
- Discover the importance of emulation and fuzzing in cybersecurity
- Get to grips with fuzzing an entire operating system
- Discover how to inject a fuzzer into proprietary firmware
- Know the difference between static and dynamic fuzzing
- Look into combining QEMU with AFL and AFL++
- Explore Fuzz peripherals such as modems
- Find out how to identify vulnerabilities in OpenWrt
Who this book is for:
This book is for security researchers, security professionals, embedded firmware engineers, and embedded software professionals. Learners interested in emulation, as well as software engineers interested in vulnerability research and exploitation, software testing, and embedded software development will also find it useful. The book assumes basic knowledge of programming (C and Python); operating systems (Linux and macOS); and the use of Linux shell, compilation, and debugging.
정보제공 :
목차
• Who this book is for • History of emulation • Qemu from the ground • Qemu Execution Modes and Fuzzing • A Famous Refrain: AFL+QEMU = CVEs • Modifying QEMU for basic instrumentation • Real-life Case Study: Samsung Exynos Baseband • Case Study: OpenWRT full system fuzzing • Case Study: OpenWRT System Fuzzing for ARM • Finally Here: iOS Full System Fuzzing • Deus Ex Machina: Fuzzing Android Libraries • Conclusion and Final Remarks