Fuzzing : brute force vulnerabilty discovery

Michael Sutton, Adam Greene, Pedram Amini

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

「Nielsen BookData」より

[目次]

  • 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

「Nielsen BookData」より

この本の情報

書名 Fuzzing : brute force vulnerabilty discovery
著作者等 Amini, Pedram
Greene, Adam
Sutton, Michael
出版元 Addison-Wesley
刊行年月 c2007
ページ数 xxvii, 543 p.
大きさ 24 cm
ISBN 0321446119
NCID BB01824872
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
この本を: 
このエントリーをはてなブックマークに追加

このページを印刷

外部サイトで検索

この本と繋がる本を検索

ウィキペディアから連想