Book Image

Python: Penetration Testing for Developers

By : Christopher Duffy, Mohit , Cameron Buchanan, Andrew Mabbitt, Terry Ip, Dave Mound, Benjamin May
Book Image

Python: Penetration Testing for Developers

By: Christopher Duffy, Mohit , Cameron Buchanan, Andrew Mabbitt, Terry Ip, Dave Mound, Benjamin May

Overview of this book

Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that keeps your software safe. Comprising of three key modules, follow each one to push your Python and security skills to the next level. In the first module, we’ll show you how to get to grips with the fundamentals. This means you’ll quickly find out how to tackle some of the common challenges facing pentesters using custom Python tools designed specifically for your needs. You’ll also learn what tools to use and when, giving you complete confidence when deploying your pentester tools to combat any potential threat. In the next module you’ll begin hacking into the application layer. Covering everything from parameter tampering, DDoS, XXS and SQL injection, it will build on the knowledge and skills you learned in the first module to make you an even more fluent security expert. Finally in the third module, you’ll find more than 60 Python pentesting recipes. We think this will soon become your trusted resource for any pentesting situation. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Learning Penetration Testing with Python by Christopher Duffy ? Python Penetration Testing Essentials by Mohit ? Python Web Penetration Testing Cookbook by Cameron Buchanan,Terry Ip, Andrew Mabbitt, Benjamin May and Dave Mound
Table of Contents (32 chapters)
Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
Preface
Bibliography
Index

Wireless SSID finding and wireless traffic analysis by Python


If you have done wireless testing by Back-Track or Kali Linux, then you will be familiar with the airmon-ng suits. The airmon-ng script is used to enable the monitor mode on wireless interfaces. The monitor mode allows a wireless device to capture the frames without having to associate with an AP. We are going to run all our programs on Kali Linux. The following screenshot shows you how to set mon0:

Setting mon0

When you run the airmon-ng script, it gives the wireless card a name such as wlan0, as shown in the preceding screenshot. The airmon-ng start wlan0 command will start wlan0 in the monitor mode, and mon0 captures wireless packets.

Now, let's write our first program, which gives three values: SSID, BSSID, and the channel number. Don't worry as we will go through this line by line:

import socket 
sniff = socket.socket(socket.AF_PACKET, socket.SOCK_RAW, 3)
sniff.bind(("mon0", 0x0003))
ap_list =[]
while True :
  fm1 = sniff.recvfrom...