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

Generating an SHA 1/128/256 hash

SHA hashes are also extremely commonly used, alongside MD5 hashes. The early implementation of SHA hashes started with SHA1, which is less frequently used now due to the weakness of the hash. SHA1 was followed up with SHA128, which was then replaced by SHA256.

Getting ready

Once again for these scripts, we will only be requiring the hashlib module.

How to do it…

Generating SHA hashes within Python is also extremely simple by using the imported module. With simple tweaks, we can change whether we would like to generate an SHA1, SHA128, or SHA256 hash.

The following are three different scripts that allow us to generate the different SHA hashes:

Here is the script of SHA1:

import hashlib
message = raw_input("Enter the string you would like to hash: ")
sha = hashlib.sha1(message)
sha1 = sha.hexdigest()
print sha1

Here is the script of SHA128:

import hashlib
message = raw_input("Enter the string you would like to hash: ")
sha = hashlib.sha128(message)
sha128 = sha.hexdigest()
print sha128

Here is the script of SHA256:

import hashlib
message = raw_input("Enter the string you would like to hash: ")
sha = hashlib.sha256(message)
sha256 = sha.hexdigest()
print sha256

How it works…

The hashlib module once again does the bulk of the work for us here. We can utilize the features within the module.

We start by importing the module by using:

import hashlib

We then need to prompt for the string to encode using SHA. We ask the user for input rather than using hard-coding, so that the script can be used over and over again. This can be done with:

message = raw_input("Enter the string you would like to hash: )

Once we have the string, we can start the encoding process. The next part depends on the SHA encoding that you would like to use:

sha = hashlib.sha*(message)

We need to replace * with either 1, 128, or 256. Once we have the message SHA-encoded, we need to use the hexdigest() function once again so the output becomes readable.

We do this with:

sha*=sha.hexdigest()

Once the output has become readable, we simply need to print the hash output:

print sha*