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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
Author Profile Icon Cameron Buchanan
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

Finding e-mail addresses from web pages


Instead of generating your own e-mail list, you may find that a target organisation will have some that exist on their web pages. This may prove to be of higher value than e-mail addresses you have generated yourself as the likelihood of e-mail addresses on a target organisation's website being valid will be much higher than ones you have tried to guess.

Getting ready

For this recipe, you will need a list of pages you want to parse for e-mail addresses. You may want to visit the target organization's website and search for a sitemap. A sitemap can then be parsed for links to pages that exist within the website.

How to do it…

The following code will parse through responses from a list of URLs for instances of text that match an e-mail address format and save them to a file:

import urllib2
import re
import time
from random import randint
regex = re.compile(("([a-z0-9!#$%&'*+\/=?^_'{|}~-]+(?:\.[a-z0- 9!#$%&'*+\/=?^_'"
                    "{|}~-]+)...
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