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Python Penetration Testing Cookbook

You're reading from   Python Penetration Testing Cookbook Practical recipes on implementing information gathering, network security, intrusion detection, and post-exploitation

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781784399771
Length 226 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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Table of Contents (15) Chapters Close

Preface 1. Why Python in Penetration Testing? FREE CHAPTER 2. Setting Up a Python Environment 3. Web Scraping with Python 4. Data Parsing with Python 5. Web Scraping with Scrapy and BeautifulSoup 6. Network Scanning with Python 7. Network Sniffing with Python 8. Scapy Basics 9. Wi-Fi Sniffing 10. Layer 2 Attacks 11. TCP/IP Attacks 12. Introduction to Exploit Development 13. Windows Exploit Development 14. Linux Exploit Development

Dynamic GET requests

Now we know that Python can programmatically download a website as long as we have the URL. If we have to download multiple pages that only differ in the query string, then we can write a script to do this without repeatedly rerunning the script, and instead download everything we need in one run.

How to do it...

Check out this URL-- https://www.packtpub.com/all?search=&offset=12&rows=&sort=. Here, the query string variable that defines the page number (offset) is multiples of 12:

To download all the images in all of these pages, we can rewrite the previous recipe as follows:

  1. Import the required modules:
import urllib.request 
import urllib.parse 
import re 
from os.path import basename 
...
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