Brute Force Vulnerability Discovery

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Foreword xix
Preface xxi
Acknowledgments xxv
About the Author xxvii
P ARTI B ACKGROUND 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
P ART II T ARGETS AND A UTOMATION 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
P ART III A DVANCED F UZZING T ECHNOLOGIES 349
Chapter 21 Fuzzing Frameworks 351
Chapter 22 Automated Protocol Dissection 419
Chapter 23 Fuzzer Tracking 437
Chapter 24 Intelligent Fault Detection 471
P ART IV L OOKING F ORWARD 495
Chapter 25 Lessons Learned 497
Chapter 26 Looking Forward 507
Index 519

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