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Effective Python Penetration Testing

You're reading from   Effective Python Penetration Testing Pen test your system like a pro and overcome vulnerabilities by leveraging Python scripts, libraries, and tools

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785280696
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
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Toc

Table of Contents (11) Chapters Close

Preface 1. Python Scripting Essentials FREE CHAPTER 2. Analyzing Network Traffic with Scapy 3. Application Fingerprinting with Python 4. Attack Scripting with Python 5. Fuzzing and Brute-Forcing 6. Debugging and Reverse Engineering 7. Crypto, Hash, and Conversion Functions 8. Keylogging and Screen Grabbing 9. Attack Automation 10. Looking Forward

Classification of fuzzers


Many classifications exist for fuzzing based on target, attack vectors used, and fuzzing method. Fuzzing targets include file formats, network protocols, command-line arguments, environment variables, web applications, and many others. Fuzzing can be broadly categorized based on the way test cases are generated. They are mutation fuzzing (dump) and generation fuzzing (intelligent).

Mutation (dump) fuzzers

A fuzzer that creates completely random input is known as a mutation or dump fuzzer. This type of fuzzer mutates the existing input value blindly. But it lacks an understandable format or structure of the data. For example, it can be replacing or appending a random slice of data to the desired input.

Generation (intelligent) fuzzers

Generation fuzzers create inputs from scratch rather than mutating existing input. So, it requires some level of intelligence in order to generate input that makes at least some sense to the target application.

In contrast to mutation fuzzers...

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