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Fuzzing: Brute Force Vulnerability Discovery

– tekijä: Michael Sutton

JäseniäKirja-arvostelujaSuosituimmuussijaKeskimääräinen arvioKeskustelut
531373,497 (3.75)-
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. nbsp; 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: nbsp; * 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 nbsp; 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. nbsp; Forewordnbsp;nbsp;nbsp;nbsp; xix Prefacenbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; xxi Acknowledgmentsnbsp; xxv About the Authornbsp;nbsp; xxvii P ARTInbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; B ACKGROUNDnbsp;nbsp;nbsp;nbsp; 1 Chapter 1nbsp;nbsp;nbsp; Vulnerability Discovery Methodologiesnbsp; 3 Chapter 2nbsp;nbsp;nbsp; What Is Fuzzing?nbsp;nbsp; 21 Chapter 3nbsp;nbsp;nbsp; Fuzzing Methods and Fuzzer Typesnbsp;nbsp;nbsp;nbsp; 33 Chapter 4nbsp;nbsp;nbsp; Data Representation and Analysisnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 45 Chapter 5nbsp;nbsp;nbsp; Requirements for Effective Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp; 61 P ART IInbsp;nbsp;nbsp;nbsp;nbsp; T ARGETS AND A UTOMATIONnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 71 Chapter 6nbsp;nbsp;nbsp; Automation and Data Generationnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 73 Chapter 7nbsp;nbsp;nbsp; Environment Variable and Argument Fuzzing 89 Chapter 8nbsp;nbsp;nbsp; Environment Variable and Argument Fuzzing: Automation 103 Chapter 9nbsp;nbsp;nbsp; Web Application and Server Fuzzingnbsp;nbsp;nbsp;nbsp; 113 Chapter 10nbsp; Web Application and Server Fuzzing: Automationnbsp;nbsp;nbsp; 137 Chapter 11nbsp; File Format Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 169 Chapter 12nbsp; File Format Fuzzing: Automation on UNIXnbsp;nbsp;nbsp;nbsp; 181 Chapter 13nbsp; File Format Fuzzing: Automation on Windowsnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 197 Chapter 14nbsp; Network Protocol Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 223 Chapter 15nbsp; Network Protocol Fuzzing: Automation on UNIXnbsp;nbsp;nbsp;nbsp; 235 Chapter 16nbsp; Network Protocol Fuzzing: Automation on Windowsnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 249 Chapter 17nbsp; Web Browser Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp; 267 Chapter 18nbsp; Web Browser Fuzzing: Automationnbsp;nbsp;nbsp;nbsp; 283 Chapter 19nbsp; In-Memory Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 301 Chapter 20nbsp; In-Memory Fuzzing: Automationnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 315 P ART IIInbsp;nbsp;nbsp; A DVANCED F UZZING T ECHNOLOGIESnbsp;nbsp;nbsp;nbsp;nbsp; 349 Chapter 21nbsp; Fuzzing Frameworksnbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 351 Chapter 22nbsp; Automated Protocol Dissectionnbsp; 419 Chapter 23nbsp; Fuzzer Trackingnbsp;nbsp;nbsp;nbsp; 437 Chapter 24nbsp; Intelligent Fault Detection 471 P ART IVnbsp;nbsp;nbsp;nbsp; L OOKING F ORWARDnbsp;nbsp;nbsp; 495 Chapter 25nbsp; Lessons Learnednbsp;nbsp;nbsp; 497 Chapter 26nbsp; Looking Forwardnbsp;nbsp;nbsp; 507 Index 519 nbsp; nbsp;… (lisätietoja)

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The first book having a comprehensive list of the fuzzing techniques and fuzzing framework. Nice but the only negative point is the structure of the book. If you are interested in fuzzing and don't know where to start it... that's the book. ( )
  adulau | Oct 4, 2007 |
ei arvosteluja | lisää arvostelu
Sinun täytyy kirjautua sisään voidaksesi muokata Yhteistä tietoa
Katso lisäohjeita Common Knowledge -sivuilta (englanniksi).
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Palkinnot ja kunnianosoitukset
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Englanninkielinen Wikipedia (1)

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. nbsp; 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: nbsp; * 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 nbsp; 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. nbsp; Forewordnbsp;nbsp;nbsp;nbsp; xix Prefacenbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; xxi Acknowledgmentsnbsp; xxv About the Authornbsp;nbsp; xxvii P ARTInbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; B ACKGROUNDnbsp;nbsp;nbsp;nbsp; 1 Chapter 1nbsp;nbsp;nbsp; Vulnerability Discovery Methodologiesnbsp; 3 Chapter 2nbsp;nbsp;nbsp; What Is Fuzzing?nbsp;nbsp; 21 Chapter 3nbsp;nbsp;nbsp; Fuzzing Methods and Fuzzer Typesnbsp;nbsp;nbsp;nbsp; 33 Chapter 4nbsp;nbsp;nbsp; Data Representation and Analysisnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 45 Chapter 5nbsp;nbsp;nbsp; Requirements for Effective Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp; 61 P ART IInbsp;nbsp;nbsp;nbsp;nbsp; T ARGETS AND A UTOMATIONnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 71 Chapter 6nbsp;nbsp;nbsp; Automation and Data Generationnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 73 Chapter 7nbsp;nbsp;nbsp; Environment Variable and Argument Fuzzing 89 Chapter 8nbsp;nbsp;nbsp; Environment Variable and Argument Fuzzing: Automation 103 Chapter 9nbsp;nbsp;nbsp; Web Application and Server Fuzzingnbsp;nbsp;nbsp;nbsp; 113 Chapter 10nbsp; Web Application and Server Fuzzing: Automationnbsp;nbsp;nbsp; 137 Chapter 11nbsp; File Format Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 169 Chapter 12nbsp; File Format Fuzzing: Automation on UNIXnbsp;nbsp;nbsp;nbsp; 181 Chapter 13nbsp; File Format Fuzzing: Automation on Windowsnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 197 Chapter 14nbsp; Network Protocol Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 223 Chapter 15nbsp; Network Protocol Fuzzing: Automation on UNIXnbsp;nbsp;nbsp;nbsp; 235 Chapter 16nbsp; Network Protocol Fuzzing: Automation on Windowsnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 249 Chapter 17nbsp; Web Browser Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp; 267 Chapter 18nbsp; Web Browser Fuzzing: Automationnbsp;nbsp;nbsp;nbsp; 283 Chapter 19nbsp; In-Memory Fuzzingnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 301 Chapter 20nbsp; In-Memory Fuzzing: Automationnbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 315 P ART IIInbsp;nbsp;nbsp; A DVANCED F UZZING T ECHNOLOGIESnbsp;nbsp;nbsp;nbsp;nbsp; 349 Chapter 21nbsp; Fuzzing Frameworksnbsp;nbsp;nbsp;nbsp;nbsp;nbsp; 351 Chapter 22nbsp; Automated Protocol Dissectionnbsp; 419 Chapter 23nbsp; Fuzzer Trackingnbsp;nbsp;nbsp;nbsp; 437 Chapter 24nbsp; Intelligent Fault Detection 471 P ART IVnbsp;nbsp;nbsp;nbsp; L OOKING F ORWARDnbsp;nbsp;nbsp; 495 Chapter 25nbsp; Lessons Learnednbsp;nbsp;nbsp; 497 Chapter 26nbsp; Looking Forwardnbsp;nbsp;nbsp; 507 Index 519 nbsp; nbsp;

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