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Python Web Penetration Testing Cookbook

You're reading from   Python Web Penetration Testing Cookbook Over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784392932
Length 224 pages
Edition 1st Edition
Languages
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Authors (4):
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Cameron Buchanan Cameron Buchanan
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Cameron Buchanan
Terry Ip Terry Ip
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Terry Ip
Andrew Mabbitt Andrew Mabbitt
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Andrew Mabbitt
Benjamin May Benjamin May
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Benjamin May
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Toc

Table of Contents (16) Chapters Close

Python Web Penetration Testing Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Gathering Open Source Intelligence FREE CHAPTER 2. Enumeration 3. Vulnerability Identification 4. SQL Injection 5. Web Header Manipulation 6. Image Analysis and Manipulation 7. Encryption and Encoding 8. Payloads and Shells 9. Reporting Index

Identifying hashes


Nearly every web application you use that stores a password of yours, should store your credentials in some form of hashed format for added security. A good hashing system in place for user passwords can be very useful in case your database is ever stolen, as this will extend the time taken for a hacker to crack them.

For this reason, we have numerous different hashing methods, some of which are reused throughout different applications, such as MD5 and SHA hashes, but some such as Des(UNIX) are less commonly found. Because of this, it is a good idea to be able to match a hash value to the hashing function it belongs to. We cannot base this purely on hash length as many hashing functions share the same length, so to aid us with this we are going to use regular expressions (Regex). This allows us to define the length, the characters used, and whether any numerical values are present.

Getting ready

For this script, we will only be using the re module.

How to do it…

As previously...

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