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Fuzzing : Brute Force Vulnerability Discovery

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FUZZING

Master One of Today's Most Powerful Techniques for Revealing Security Flaws!

Fuzzing has evolved into one of today's most effective approaches to test software security. To "fuzz," you attach a program's inputs to a source of random data, and then systematically identify the failures that arise. Hackers have

relied on fuzzing for years: Now, it's your turn. In this book, renowned fuzzing experts show you how to use fuzzing to reveal weaknesses in your software before someone else does.



Fuzzing is the first and only book to cover fuzzing from start to finish, bringing disciplined best practices to a technique that has traditionally been implemented informally. The authors begin by reviewing how fuzzing works and outlining its crucial advantages over other security testing methods. Next, they introduce state-of-the-art fuzzing techniques for finding vulnerabilities in network protocols, file formats, and web applications; demonstrate the use of automated fuzzing tools; and present several insightful case histories showing fuzzing at work. Coverage includes:



* Why fuzzing simplifies test design and catches flaws other methods miss

* The fuzzing process: from identifying inputs to assessing "exploitability"

* Understanding the requirements for effective fuzzing

* Comparing mutation-based and generation-based fuzzers

* Using and automating environment variable and argument fuzzing

* Mastering in-memory fuzzing techniques

* Constructing custom fuzzing frameworks and tools

* Implementing intelligent fault detection



Attackers are already using fuzzing. You should, too. Whether you're a developer, security engineer, tester, or QA specialist, this book teaches you how to build secure software.



Foreword xix

Preface xxi

Acknowledgments xxv

About the Author xxvii

PARTI BACKGROUND 1

Chapter 1 Vulnerability Discovery Methodologies 3

Chapter 2 What Is Fuzzing? 21

Chapter 3 Fuzzing Methods and Fuzzer Types 33

Chapter 4 Data Representation and Analysis 45

Chapter 5 Requirements for Effective Fuzzing 61

PART II TARGETS AND AUTOMATION 71

Chapter 6 Automation and Data Generation 73

Chapter 7 Environment Variable and Argument Fuzzing 89

Chapter 8 Environment Variable and Argument Fuzzing: Automation 103

Chapter 9 Web Application and Server Fuzzing 113

Chapter 10 Web Application and Server Fuzzing: Automation 137

Chapter 11 File Format Fuzzing 169

Chapter 12 File Format Fuzzing: Automation on UNIX 181

Chapter 13 File Format Fuzzing: Automation on Windows 197

Chapter 14 Network Protocol Fuzzing 223

Chapter 15 Network Protocol Fuzzing: Automation on UNIX 235

Chapter 16 Network Protocol Fuzzing: Automation on Windows 249

Chapter 17 Web Browser Fuzzing 267

Chapter 18 Web Browser Fuzzing: Automation 283

Chapter 19 In-Memory Fuzzing 301

Chapter 20 In-Memory Fuzzing: Automation 315

PART III ADVANCED FUZZING TECHNOLOGIES 349

Chapter 21 Fuzzing Frameworks 351

Chapter 22 Automated Protocol Dissection 419

Chapter 23 Fuzzer Tracking 437

Chapter 24 Intelligent Fault Detection 471

PART IV LOOKING FORWARD 495

Chapter 25 Lessons Learned 497

Chapter 26 Looking Forward 507

Index 519
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Product details

  • Paperback | 576 pages
  • 177 x 233 x 28mm | 800g
  • Addison-Wesley Educational Publishers Inc
  • New Jersey, United States
  • English
  • w. figs.
  • 0321446119
  • 9780321446114
  • 529,724

Back cover copy

FUZZING Master One of Today's Most Powerful Techniques for Revealing Security Flaws! Fuzzing has evolved into one of today's most effective approaches to test software security. To "fuzz," you attach a program's inputs to a source of random data, and then systematically identify the failures that arise. Hackers have relied on fuzzing for years: Now, it's your turn. In this book, renowned fuzzing experts show you how to use fuzzing to reveal weaknesses in your software before someone else does. " " "Fuzzing "is the first and only book to cover fuzzing from start to finish, bringing disciplined best practices to a technique that has traditionally been implemented informally. The authors begin by reviewing how fuzzing works and outlining its crucial advantages over other security testing methods. Next, they introduce state-of-the-art fuzzing techniques for finding vulnerabilities in network protocols, file formats, and web applications; demonstrate the use of automated fuzzing tools; and present several insightful case histories showing fuzzing at work. Coverage includes: - Why fuzzing simplifies test design and catches flaws other methods miss - The fuzzing process: from identifying inputs to assessing "exploitability" - Understanding the requirements for effective fuzzing - Comparing mutation-based and generation-based fuzzers - Using and automating environment variable and argument fuzzing - Mastering in-memory fuzzing techniques - Constructing custom fuzzing frameworks and tools - Implementing intelligent fault detection Attackers are already using fuzzing. You should, too. Whether you're a developer, security engineer, tester, or QA specialist, this book teaches you how to build secure software. Foreword xix Preface xxi Acknowledgments xxv About the Author xxvii PARTI BACKGROUND 1 Chapter 1 Vulnerability Discovery Methodologies 3 Chapter 2 What Is Fuzzing? 21 Chapter 3 Fuzzing Methods and Fuzzer Types 33 Chapter 4 Data Representation and Analysis 45 Chapter 5 Requirements for Effective Fuzzing 61 PART II TARGETS AND AUTOMATION 71 Chapter 6 Automation and Data Generation 73 Chapter 7 Environment Variable and Argument Fuzzing 89 Chapter 8 Environment Variable and Argument Fuzzing: Automation 103 Chapter 9 Web Application and Server Fuzzing 113 Chapter 10 Web Application and Server Fuzzing: Automation 137 Chapter 11 File Format Fuzzing 169 Chapter 12 File Format Fuzzing: Automation on UNIX 181 Chapter 13 File Format Fuzzing: Automation on Windows 197 Chapter 14 Network Protocol Fuzzing 223 Chapter 15 Network Protocol Fuzzing: Automation on UNIX 235 Chapter 16 Network Protocol Fuzzing: Automation on Windows 249 Chapter 17 Web Browser Fuzzing 267 Chapter 18 Web Browser Fuzzing: Automation 283 Chapter 19 In-Memory Fuzzing 301 Chapter 20 In-Memory Fuzzing: Automation 315 PART III ADVANCED FUZZING TECHNOLOGIES 349 Chapter 21 Fuzzing Frameworks 351 Chapter 22 Automated Protocol Dissection 419 Chapter 23 Fuzzer Tracking 437 Chapter 24 Intelligent Fault Detection 471 PART IV LOOKING FORWARD 495 Chapter 25 Lessons Learned 497 Chapter 26 Looking Forward 507 Index 519
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Table of contents

Foreword xix

Preface xxi

Acknowledgments xxv

About the Author xxvii

PARTI BACKGROUND 1

Chapter 1 Vulnerability Discovery Methodologies 3

Chapter 2 What Is Fuzzing? 21

Chapter 3 Fuzzing Methods and Fuzzer Types 33

Chapter 4 Data Representation and Analysis 45

Chapter 5 Requirements for Effective Fuzzing 61

PART II TARGETS AND AUTOMATION 71

Chapter 6 Automation and Data Generation 73

Chapter 7 Environment Variable and Argument Fuzzing 89

Chapter 8 Environment Variable and Argument Fuzzing: Automation 103

Chapter 9 Web Application and Server Fuzzing 113

Chapter 10 Web Application and Server Fuzzing: Automation 137

Chapter 11 File Format Fuzzing 169

Chapter 12 File Format Fuzzing: Automation on UNIX 181

Chapter 13 File Format Fuzzing: Automation on Windows 197

Chapter 14 Network Protocol Fuzzing 223

Chapter 15 Network Protocol Fuzzing: Automation on UNIX 235

Chapter 16 Network Protocol Fuzzing: Automation on Windows 249

Chapter 17 Web Browser Fuzzing 267

Chapter 18 Web Browser Fuzzing: Automation 283

Chapter 19 In-Memory Fuzzing 301

Chapter 20 In-Memory Fuzzing: Automation 315

PART III ADVANCED FUZZING TECHNOLOGIES 349

Chapter 21 Fuzzing Frameworks 351

Chapter 22 Automated Protocol Dissection 419

Chapter 23 Fuzzer Tracking 437

Chapter 24 Intelligent Fault Detection 471

PART IV LOOKING FORWARD 495

Chapter 25 Lessons Learned 497

Chapter 26 Looking Forward 507

Index 519
show more

About Michael Sutton

MICHAEL SUTTON

Michael Sutton is the Security Evangelist for SPI Dynamics. As Security Evangelist, Michael is responsible for identifying, researching, and presenting on emerging issues in the web application security industry. He is a frequent speaker at major information security conferences, has authored numerous articles, and is regularly quoted in the media on various information security topics.Michael is also a member of the Web Application Security Consortium (WASC), where he is project lead for the Web Application Security Statistics project.

Prior to joining SPI Dynamics,Michael was a Director for iDefense/VeriSign, where he headed iDefense Labs, a team of world class researchers tasked with discovering and researching security vulnerabilities.Michael also established the Information Systems Assurance and Advisory Services (ISAAS) practice for Ernst & Young in Bermuda. He holds degrees from the University of Alberta and The George Washington University. Michael is a proud Canadian who understands that hockey is a religion and not a sport. Outside of the office, he is a Sergeant with the Fairfax Volunteer Fire Department.



ADAM GREENE

Adam Greene is an engineer for a large financial news company based in New York City. Previously, he served as an engineer for iDefense, an intelligence company located in Reston, VA. His interests in computer security lie mainly in reliable exploitation methods, fuzzing, and UNIX-based system auditing and exploit development.



PEDRAM AMINI

Pedram Amini currently leads the security research and product security assessment team at TippingPoint. Previously, he was the assistant director and one of the founding members of iDefense Labs. Despite the fancy titles, he spends much of his time in the shoes of a reverse engineer-developing automation tools, plug-ins, and scripts. His most recent projects (a.k.a. "babies") include the PaiMei reverse engineering framework and the Sulley fuzzing framework.

In conjunction with his passion, Pedram launched OpenRCE.org, a community website dedicated to the art and science of reverse engineering. He has presented at RECon, BlackHat, DefCon, ShmooCon, and ToorCon and taught numerous sold out reverse engineering courses. Pedram holds a computer science degree from Tulane University.
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Rating details

53 ratings
3.83 out of 5 stars
5 25% (13)
4 47% (25)
3 17% (9)
2 9% (5)
1 2% (1)
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