Fuzzing for Software Security Testing and Quality Assurance: Robustness Testing for Quality Assurance and Vulnerability

Fuzzing for Software Security Testing and Quality Assurance: Robustness Testing for Quality Assurance and Vulnerability

ISBN-10:
1596932147
ISBN-13:
9781596932142
Pub. Date:
06/30/2008
Publisher:
Artech House, Incorporated
ISBN-10:
1596932147
ISBN-13:
9781596932142
Pub. Date:
06/30/2008
Publisher:
Artech House, Incorporated
Fuzzing for Software Security Testing and Quality Assurance: Robustness Testing for Quality Assurance and Vulnerability

Fuzzing for Software Security Testing and Quality Assurance: Robustness Testing for Quality Assurance and Vulnerability

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Overview

Learn the code cracker's malicious mindset, so you can find worn-size holes in the software you are designing, testing, and building. Fuzzing for Software Security Testing and Quality Assurance takes a weapon from the black-hat arsenal to give you a powerful new tool to build secure, high-quality software. This practical resource helps you add extra protection without adding expense or time to already tight schedules and budgets. The book shows you how to make fuzzing a standard practice that integrates seamlessly with all development activities.

This comprehensive reference goes through each phase of software development and points out where testing and auditing can tighten security. It surveys all popular commercial fuzzing tools and explains how to select the right one for a software development project. The book also identifies those cases where commercial tools fall short and when there is a need for building your own fuzzing tools.


Product Details

ISBN-13: 9781596932142
Publisher: Artech House, Incorporated
Publication date: 06/30/2008
Series: Artech House Information Security and Privacy Series
Edition description: New Edition
Pages: 312
Product dimensions: 7.10(w) x 10.20(h) x 0.50(d)

About the Author

Ari Takanen is the chief technical officer at Codenomicon, a software fuzzing tool company. A noted speaker and author on software testing and security, he is a graduate of Finland's University of Oulo, where he did research with the university's Secure Programming Group.

Jared D. DeMott is a software vulnerability researcher, speaker, teacher, and author. He is a leading expert on fuzzing and fuzzing tools . He earned an M.S. in computer science from Johns Hopkins University and is a Ph.D. candidate at Michigan State University.

Charlie Miller is principal analyst at Independent Security Evaluators. Previously, he spent five years at the National Security Agency. He is probably best known as the first to publicly create a remote exploit against the iPhone. Dr. Miller is also a frequent speaker at major computer security conferences. He earned his Ph.D. from the University of Notre Dame.

Table of Contents

Introduction—Software Security. Software Quality. Fuzzing. Book Goals and Layout.

Software Vulnerability Analysis—Purpose of Vulnerability Analysis. People Conducting Vulnerability Analysis. Target Software. Basic Bug Categories. Bug Hunting Techniques. Fuzzing. Defenses.

Quality Assurance and Testing—Quality Assurance and Security. Measuring Quality, Testing for Quality. Main Categories of Testing. White-Box Testing. Black-Box Testing. Purpose of Black-Box Testing. Testing Metrics. Black-Box Testing Techniques for Security. Summary.

Fuzzing Metrics—Threat Analysis and Risk-Based Testing. Transition to Proactive Security. Defect Metrics and Security. Test Automation for Security. Summary.

Building and Classifying Fuzzers—Fuzzing Methods. Detailed View of Fuzzer Types. Fuzzer Classification via Interface. Summary.

Target Monitoring—What Can Go Wrong and What Does It Look Like. Methods of Monitoring. Advanced Methods. Monitoring Overview. A Test Program. Case Study: PCRE. Summary.

Advanced Fuzzing—Automatic Protocol Discovery. Using Code Coverage Information. Symbolic Execution. Evolutionary Fuzzing. Summary.

Fuzzer Comparison—Fuzzing Lifecycle. Evaluating Fuzzers. Introducing the Fuzzers. The Targets. The Bugs. Results. A Closer Look at the Results. General Conclusions. Summary.

Fuzzing Case Studies—Enterprise Fuzzing. Carrier and Service Provider Fuzzing. Application Developer Fuzzing. Network Equipment Manufacturer Fuzzing. Industrial Automation Fuzzing. Blackbox Fuzzing for Security Researchers. Summary.

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