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Python Penetration Testing Essentials

You're reading from   Python Penetration Testing Essentials Employ the power of Python to get the best out of pentesting

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784398583
Length 178 pages
Edition 1st Edition
Languages
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Author (1):
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Mohit Raj Mohit Raj
Author Profile Icon Mohit Raj
Mohit Raj
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Table of Contents (9) Chapters Close

Preface 1. Python with Penetration Testing and Networking FREE CHAPTER 2. Scanning Pentesting 3. Sniffing and Penetration Testing 4. Wireless Pentesting 5. Foot Printing of a Web Server and a Web Application 6. Client-side and DDoS Attacks 7. Pentesting of SQLI and XSS Index

Information gathering of a website from SmartWhois by the parser BeautifulSoup


Consider a situation where you want to glean all the hyperlinks from the webpage. In this section, we will do this by programming. On the other hand, this can also be done manually by viewing the view source of the web page. However this will take some time.

So let's get acquainted with a very beautiful parser called BeautifulSoup. This parser is from a third-party source and is very easy to work with. In our code, we will use version 4 of BeautifulSoup.

The requirement is the title of the HTML page and hyperlinks.

The code is as follows:

import urllib
from bs4 import BeautifulSoup
url = raw_input("Enter the URL ")
ht= urllib.urlopen(url)
html_page = ht.read()
b_object = BeautifulSoup(html_page)
print b_object.title
print b_object.title.text
for link in b_object.find_all('a'):
  print(link.get('href'))

The from bs4 import BeautifulSoup statement is used to import the BeautifulSoup library. The url variable stores the...

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