In this section, we are going to discuss one of the most deadly attacks, called the Denial-of-Service attack. The aim of this attack is to consume machine or network resources, making it unavailable for the intended users. Generally, attackers use this attack when every other attack fails. This attack can be done at the data link, network, or application layer. Usually, a web server is the target for hackers. In a DoS attack, the attacker sends a huge number of requests to the web server, aiming to consume network bandwidth and machine memory. In a Distributed Denial-of-Service (DDoS) attack, the attacker sends a huge number of requests from different IPs. In order to carry out DDoS, the attacker can use Trojans or IP spoofing. In this section, we will carry out various experiments to complete our reports.
Python: Penetration Testing for Developers
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Python: Penetration Testing for Developers
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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
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Table of Contents (32 chapters)
Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
Preface
Free Chapter
Understanding the Penetration Testing Methodology
The Basics of Python Scripting
Identifying Targets with Nmap, Scapy, and Python
Executing Credential Attacks with Python
Exploiting Services with Python
Assessing Web Applications with Python
Cracking the Perimeter with Python
Exploit Development with Python, Metasploit, and Immunity
Automating Reports and Tasks with Python
Adding Permanency to Python Tools
Python with Penetration Testing and Networking
Scanning Pentesting
Sniffing and Penetration Testing
Wireless Pentesting
Foot Printing of a Web Server and a Web Application
Client-side and DDoS Attacks
Pentesting of SQLI and XSS
Gathering Open Source Intelligence
Enumeration
Vulnerability Identification
SQL Injection
Web Header Manipulation
Image Analysis and Manipulation
Encryption and Encoding
Payloads and Shells
Reporting
Bibliography
Index
Customer Reviews