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ISBN 10: 1835468160 
ISBN 13: 9781835468166
Author: Rejah Rehim

Unlock Python's hacking potential and discover the art of exploiting vulnerabilities in the world of offensive cybersecurity

Key Features
Get in-depth knowledge of Python's role in offensive security, from fundamentals through to advanced techniques
Discover the realm of cybersecurity with Python and exploit vulnerabilities effectively
Automate complex security tasks with Python, using third-party tools and custom solutions
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Offensive Security Using Python is your go-to manual for mastering the quick-paced field of offensive security. This book is packed with valuable insights, real-world examples, and hands-on activities to help you leverage Python to navigate the complicated world of web security, exploit vulnerabilities, and automate challenging security tasks. From detecting vulnerabilities to exploiting them with cutting-edge Python techniques, you’ll gain practical insights into web security, along with guidance on how to use automation to improve the accuracy and effectiveness of your security activities. You’ll also learn how to design personalized security automation tools. While offensive security is a great way to stay ahead of emerging threats, defensive security plays an equal role in protecting organizations from cyberattacks. In this book, you’ll get to grips with Python secure coding techniques to improve your ability to recognize dangers quickly and take appropriate action. As you progress, you’ll be well on your way to handling the contemporary challenges in the field of cybersecurity using Python, as well as protecting your digital environment from growing attacks. By the end of this book, you’ll have a solid understanding of sophisticated offensive security methods and be able to stay ahead in the constantly evolving cybersecurity space.
What you will learn
Familiarize yourself with advanced Python techniques tailored to security professionals' needs
Understand how to exploit web vulnerabilities using Python
Enhance cloud infrastructure security by utilizing Python to fortify infrastructure as code (IaC) practices
Build automated security pipelines using Python and third-party tools
Develop custom security automation tools to streamline your workflow
Implement secure coding practices with Python to boost your applications
Discover Python-based threat detection and incident response techniques
Who this book is for
This book is for a diverse audience interested in cybersecurity and offensive security. Whether you're an experienced Python developer looking to enhance offensive security skills, an ethical hacker, a penetration tester eager to learn advanced Python techniques, or a cybersecurity enthusiast exploring Python's potential in vulnerability analysis, you'll find valuable insights. If you have a solid foundation in Python programming language and are eager to understand cybersecurity intricacies, this book will help you get started on the right foot.

Offensive Security Using Python 1st Table of contents:

Part 1:Python for Offensive Security
Chapter 1: Introducing Offensive Security and Python
Understanding the offensive security landscape
Defining offensive security
The origins and evolution of offensive security
Use cases and examples of offensive security
Industry relevance and best practices
The role of Python in offensive operations
Key cybersecurity tasks that are viable with Python
Python’s edge in cybersecurity
The limitations of using Python
Ethical hacking and legal considerations
The key protocols of ethical hacking
Ethical hacking’s legal aspects
Exploring offensive security methodologies
Significance of offensive security
The offensive security lifecycle
Offensive security frameworks
Setting up a Python environment for offensive tasks
Setting up Python on Linux
Setting up Python on macOS
Setting up Python on Windows
Exploring Python modules for penetration testing
Essential Python libraries for penetration testing
Case study – Python in the real world
Scenario 1 – real-time web application security testing
Scenario 2 – network intrusion detection
Summary
Chapter 2: Python for Security Professionals – Beyond the Basics
Utilizing essential security libraries
Harnessing advanced Python techniques for security
Compiling a Python library
Advanced Python features
Decorators
Generators
Summary
Activity
Part 2: Python in Offensive Web Security
Chapter 3: An Introduction to Web Security with Python
Fundamentals of web security
Python tools for a web vulnerability assessment
Wapiti
MITMProxy
SQLMap
Exploring web attack surfaces with Python
HTTP header analysis
HTML analysis
JavaScript analysis
Specialized web technology fingerprinting libraries
Proactive web security measures with Python
Input validation and data sanitization
Secure authentication and authorization
Secure session management
Secure coding practices
Implementing security headers
Summary
Chapter 4: Exploiting Web Vulnerabilities Using Python
Web application vulnerabilities – an overview
SQL injection
XSS
IDOR
A case study concerning web application security
SQL injection attacks and Python exploitation
Features of SQLMap
How SQLMap works
Basic usage of SQLMap
Intercepting with MITMProxy
XSS exploitation with Python
Understanding how XSS works
Reflected XSS (non-persistent)
Stored XSS (persistent)
Python for data breaches and privacy exploitation
XPath
CSS Selectors
Summary
Chapter 5: Cloud Espionage – Python for Cloud Offensive Security
Cloud security fundamentals
Shared Responsibility Model
Cloud deployment models and security implications
Encryption, access controls, and IdM
Security measures offered by major cloud providers
Access control in cloud environments
Impact of malicious activities
Python-based cloud data extraction and analysis
Risks of hardcoded sensitive data and detecting hardcoded access keys
Enumerating EC2 instances using Python (boto3)
Exploiting misconfigurations in cloud environments
Types of misconfigurations
Identifying misconfigurations
Exploring Prowler’s functionality
Enhancing security, Python in serverless, and infrastructure as code (IaC)
Introducing serverless computing
Introduction to IaC
Summary
Part 3: Python Automation for Advanced Security Tasks
Chapter 6: Building Automated Security Pipelines with Python Using Third-Party Tools
The art of security automation – fundamentals and benefits
The benefits of cybersecurity automation
Functions of cybersecurity automation
Cybersecurity automation best practices
What is an API?
Designing end-to-end security pipelines with Python
Integrating third-party tools for enhanced functionality
Why automate ZAP with Python?
Setting up the ZAP automation environment
Automating ZAP with Python
CI/CD – what is it and why is it important for security automation?
Integrating Beagle Security into our security pipeline
Automating testing with Python
Ensuring reliability and resilience in automated workflows
Robust error-handling mechanisms
Implementing retry logic
Building idempotent operations
Automated testing and validation
Documentation and knowledge sharing
Security and access control
Implementing a logger for security pipelines
Summary
Chapter 7: Creating Custom Security Automation Tools with Python
Designing and developing tailored security automation tools
Integrating external data sources and APIs for enhanced functionality
Extending tool capabilities with Python libraries and frameworks
pandas
scikit-learn
Summary
Part 4: Python Defense Strategies for Robust Security
Chapter 8: Secure Coding Practices with Python
Understanding secure coding fundamentals
Principles of secure coding
Common security vulnerabilities
Input validation and sanitization with Python
Input validation
Input sanitization
Preventing code injection and execution attacks
Preventing SQL injection
Preventing command injection
Data encryption and Python security libraries
Symmetric encryption
Asymmetric encryption
Hashing
Secure deployment strategies for Python applications
Environment configuration
Dependency management
Secure server configuration
Logging and monitoring
Summary
Chapter 9: Python-Based Threat Detection and Incident Response
Building effective threat detection mechanisms
Signature-based detection
Anomaly detection
Behavioral analysis
Threat intelligence integration
Real-time log analysis and anomaly detection with Python
Preprocessing
Real-time analysis with the ELK stack
Anomaly detection techniques
Visualizing anomalies
Automating incident response with Python Scripts
Leveraging Python for threat hunting and analysis
Data collection and aggregation
Data analysis techniques
Automating threat hunting tasks
Orchestrating comprehensive incident response using Python
Designing an incident response workflow
Integrating detection and response systems
Logging and reporting
Generating incident reports
Summary
Index
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Tags: Rejah Rehim, Offensive, Security