Offensive Security Using Python : A Hands-On Guide to Offensive Tactics and Threat Mitigation Using Practical Strategies / Rejah Rehim, Manindar Mohan, and Grant Ongers.

Format:

Book

Author/Creator:

Rehim, Rejah, author.

Mohan, Manindar, author.

Ongers, Grant, author.

Language:

English

Subjects (All):

Python (Computer program language).

Computer networks--Security measures.

Computer networks.

Physical Description:

1 online resource (248 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Summary:

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.

Contents:

Cover

Title page

Copyright and credits

Dedication

Foreword

Contributors

Table of Contents

Preface

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

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

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

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

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

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

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

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

Index

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Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781835460634

1835460631

OCLC:

1455328315