8. Payloads and Shells | Python Web Penetration Testing Cookbook

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Python Web Penetration Testing Cookbook

By : Cameron Buchanan, Terry Ip, Andrew Mabbitt, Benjamin May

3.5 (4)

Python Web Penetration Testing Cookbook

3.5 (4)

By: Cameron Buchanan, Terry Ip, Andrew Mabbitt, Benjamin May

Overview of this book

This book is for testers looking for quick access to powerful, modern tools and customizable scripts to kick-start the creation of their own Python web penetration testing toolbox.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Sections

Conventions

Reader feedback

Customer support

Free Chapter

1. Gathering Open Source Intelligence

1. Gathering Open Source Intelligence

Introduction

Gathering information using the Shodan API

Scripting a Google+ API search

Downloading profile pictures using the Google+ API

Harvesting additional results from the Google+ API using pagination

Getting screenshots of websites with QtWebKit

Screenshots based on a port list

Spidering websites

2. Enumeration

2. Enumeration

Introduction

Performing a ping sweep with Scapy

Scanning with Scapy

Checking username validity

Brute forcing usernames

Enumerating files

Brute forcing passwords

Generating e-mail addresses from names

Finding e-mail addresses from web pages

Finding comments in source code

3. Vulnerability Identification

3. Vulnerability Identification

Introduction

Automated URL-based Directory Traversal

Automated URL-based Cross-site scripting

Automated parameter-based Cross-site scripting

Automated fuzzing

jQuery checking

Header-based Cross-site scripting

Shellshock checking

4. SQL Injection

4. SQL Injection

Introduction

Checking jitter

Identifying URL-based SQLi

Exploiting Boolean SQLi

Exploiting Blind SQL Injection

Encoding payloads

5. Web Header Manipulation

5. Web Header Manipulation

Introduction

Testing HTTP methods

Fingerprinting servers through HTTP headers

Testing for insecure headers

Brute forcing login through the Authorization header

Testing for clickjacking vulnerabilities

Identifying alternative sites by spoofing user agents

Testing for insecure cookie flags

Session fixation through a cookie injection

6. Image Analysis and Manipulation

6. Image Analysis and Manipulation

Introduction

Hiding a message using LSB steganography

Extracting messages hidden in LSB

Hiding text in images

Extracting text from images

Enabling command and control using steganography

7. Encryption and Encoding

7. Encryption and Encoding

Introduction

Generating an MD5 hash

Generating an SHA 1/128/256 hash

Implementing SHA and MD5 hashes together

Implementing SHA in a real-world scenario

Generating a Bcrypt hash

Cracking an MD5 hash

Encoding with Base64

Encoding with ROT13

Cracking a substitution cipher

Cracking the Atbash cipher

Attacking one-time pad reuse

Predicting a linear congruential generator

Identifying hashes

8. Payloads and Shells

8. Payloads and Shells

Introduction

Extracting data through HTTP requests

Creating an HTTP C2

Creating an FTP C2

Creating an Twitter C2

Creating a simple Netcat shell

9. Reporting

9. Reporting

Introduction

Converting Nmap XML to CSV

Extracting links from a URL to Maltego

Extracting e-mails to Maltego

Parsing Sslscan into CSV

Generating graphs using plot.ly

Index

Index

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Creating an Twitter C2

Up to a certain point, requesting random pages on the Internet is passable but once a Security Operation Centre (SOC) analyst takes a closer look at all the data that's vanishing up the tubes, it's going to be obvious that the requests are going to a dodgy site and therefore are likely associated with malicious traffic. Fortunately, social media helps out in this regard and allows us to hide data in plain sight.

We will create a script that connects to Twitter, reads tweets, performs commands based on those tweets, encrypts the response data, and posts it to Twitter. We'll also make a decode script.

Getting Started

For this, you will need a Twitter account with an API key.

How to do it…

The script we will be using is as follows:

from twitter import *
import os
from Crypto.Cipher import ARC4
import subprocess
import time

token = ''
token_key = ''
con_secret = ''
con_secret_key = ''
t = Twitter(auth=OAuth(token, token_key, con_secret, con_secret_key))

while 1:
  user = t...

Visually different images

CONTINUE READING

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Programming languages

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