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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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Toc

Table of Contents (11) Chapters Close

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

Checking jitter

The only difficult thing about performing time-based SQL Injections is that plague of gamers everywhere, lag. A human can easily sit down and account for lag mentally, taking a string of returned values, and sensibly going over the output and working out that cgris is chris. For a machine, this is much harder; therefore, we should attempt to reduce delay.

We will be creating a script that makes multiple requests to a server, records the response time, and returns an average time. This can then be used to calculate fluctuations in responses in time-based attacks known as jitter.

How to do it…

Identify the URLs you wish to attack and provide to the script through a sys.argv variable:

import requests
import sys
url = sys.argv[1]

values = []

for i in xrange(100): 
  r = requests.get(url)
  values.append(int(r.elapsed.total_seconds()))

average = sum(values) / float(len(values))
print “Average response time for “+url+” is “+str(average)

The following...

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