Offensive Security Using Python

Offensive Security Using Python

Instructor: Packt - Course Instructors

Access provided by Yenepoya University

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

How to apply advanced Python techniques to automate and enhance offensive security workflows
How to detect and exploit web and infrastructure vulnerabilities using Python-driven tools
How to implement secure coding practices and develop custom solutions for threat detection and incident response

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

9 assignments

Taught in English

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There are 9 modules in this course

In this course, you will master offensive security using Python to automate vulnerability exploitation and enhance security workflows. You'll gain the practical skills necessary to secure web applications and infrastructures, focusing on real-world application and attack mitigation strategies.

You will also work with advanced Python techniques to build custom security tools and gain hands-on experience with vulnerability discovery, web security, and infrastructure hardening. Unlike theoretical content, this course emphasizes practical, hands-on approaches to security, ensuring that you can implement what you learn immediately in the field. The course is ideal for cybersecurity professionals, ethical hackers, penetration testers, and developers with a solid foundation in Python who are eager to expand their offensive security expertise.

In this section, we explore offensive security basics, Python's role in operations, and key ethical and legal topics for responsible cybersecurity practices in real-world scenarios.

What's included

2 videos8 readings1 assignment

2 videos Total 2 minutes

Introduction - Overview Video 1 minute
Introducing Offensive Security and Python - Overview Video 1 minute

8 readings Total 100 minutes

Introduction 10 minutes
The Role of Python in Offensive Operations 10 minutes
Ethical Hacking and Legal Considerations 10 minutes
Exploring Offensive Security Methodologies 10 minutes
Exploitation 10 minutes
The STRIDE Model 20 minutes
Setting Up Python on Windows 20 minutes
Solution Using Python and a MitM Proxy 10 minutes

1 assignment Total 10 minutes

Foundations of Offensive Security and Python Applications 10 minutes

In this section, we explore advanced Python techniques for cybersecurity, including the use of critical security libraries, custom library compilation, and practical strategies for developing robust security tools.

What's included

1 video4 readings1 assignment

1 video Total 1 minute

Python for Security Professionals - Beyond the Basics - Overview Video 1 minute

4 readings Total 40 minutes

Introduction 10 minutes
Harnessing Advanced Python Techniques for Security 10 minutes
Compiling a Python Library 10 minutes
Generators 10 minutes

1 assignment Total 10 minutes

Python Techniques and Best Practices for Security Professionals 10 minutes

In this section, we learn foundational web security concepts and use Python tools to assess and improve the safety of web applications through practical and preventive measures.

What's included

1 video4 readings1 assignment

In this section, we examine how to detect and exploit web application vulnerabilities-including SQL injection, XSS, and IDOR-using Python tools and scripts, fostering practical penetration testing skills for enhanced security.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Exploiting Web Vulnerabilities Using Python - Overview Video 1 minute

6 readings Total 60 minutes

Introduction 10 minutes
Preventing XSS 10 minutes
SQL Injection Attacks and Python Exploitation 10 minutes
Intercepting with mitmproxy 10 minutes
Stored XSS (Persistent) 10 minutes
CSP 10 minutes

1 assignment Total 10 minutes

Exploiting and Detecting Web Vulnerabilities with Python 10 minutes

In this section, we examine cloud security fundamentals, demonstrate Python-based data extraction, and address cloud misconfigurations, emphasizing practical countermeasures and the role of automation in identifying and mitigating real-world vulnerabilities.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Cloud Espionage - Python for Cloud Offensive Security - Overview Video 1 minute

6 readings Total 70 minutes

Introduction 10 minutes
Encryption, Access Controls, and IdM 10 minutes
Impact of Malicious Activities 10 minutes
Risks of Hardcoded Sensitive Data and Detecting Hardcoded Access Keys 10 minutes
Enumerating EC2 Instances Using Python (boto3) 10 minutes
Exploring Prowler’s Functionality 20 minutes

1 assignment Total 10 minutes

Cloud Security Principles and Python-Driven Offensive Techniques 10 minutes

In this section, we learn to build automated security pipelines with Python, integrate APIs and third-party tools, and implement reliability and monitoring for adaptive automation in cybersecurity.

What's included

1 video5 readings1 assignment

1 video Total 1 minute

Building Automated Security Pipelines With Python Using Third-Party Tools - Overview Video 1 minute

5 readings Total 60 minutes

Introduction 10 minutes
What Is an API? 10 minutes
Integrating Third-Party Tools for Enhanced Functionality 10 minutes
Introduction to Jenkins 10 minutes
Automating Testing with Python 20 minutes

1 assignment Total 10 minutes

Building Automated Security Pipelines with Python and Third-Party Tools 10 minutes

In this section, we learn to design custom Python security tools, connect external data, and extend functionality with libraries to tackle evolving cybersecurity threats.

What's included

1 video4 readings1 assignment

1 video Total 1 minute

Creating Custom Security Automation Tools with Python - Overview Video 1 minute

4 readings Total 40 minutes

Introduction 10 minutes
Integrating External Data Sources and APIs for Enhanced Functionality 10 minutes
Extending Tool Capabilities with Python Libraries and Frameworks 10 minutes
scikit-learn 10 minutes

1 assignment Total 10 minutes

Python Tools and Approaches for Security Automation 10 minutes

In this section, we examine secure coding practices in Python, covering input validation, data encryption, and deployment strategies to protect applications from vulnerabilities and enhance real-world security.

What's included

1 video4 readings1 assignment

In this section, we demonstrate how to use Python for building effective threat detection systems, automating incident response, and orchestrating real-time log analysis, focusing on practical cybersecurity applications such as signature and anomaly-based methods.