Python For Cybersecurity Cookbook
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Python For Cybersecurity Cookbook
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Author : Nishant Krishna
language : en
Publisher: BPB Publications
Release Date : 2023-08-25
Python For Cybersecurity Cookbook written by Nishant Krishna and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Computers categories.
Learn how to use Python for vulnerability scanning, malware analysis, penetration testing, and more KEY FEATURES ● Get familiar with the different aspects of cybersecurity, such as network security, malware analysis, and penetration testing. ● Implement defensive strategies to protect systems, networks, and data from cyber threats. ● Discover advanced offensive techniques for penetration testing, exploiting vulnerabilities, and assessing overall security posture. DESCRIPTION Python is a powerful and versatile programming language that can be used for a wide variety of tasks, including general-purpose applications and specific use cases in cybersecurity. This book is a comprehensive guide to solving simple to moderate complexity problems in cybersecurity using Python. It starts with fundamental issues in reconnaissance and then moves on to the depths of the topics such as forensic analysis, malware and phishing analysis, and working with wireless devices. Furthermore, it also covers defensive and offensive security topics, such as system hardening, discovery and implementation, defensive security techniques, offensive security techniques, and penetration testing. By the end of this book, you will have a strong understanding of how to use Python for cybersecurity and be able to solve problems and create solutions independently. WHAT YOU WILL LEARN ● Learn how to use Python for cyber forensic analysis. ● Explore ways to analyze malware and phishing-based compromises. ● Use network utilities to gather information, monitor network activity, and troubleshoot issues. ● Learn how to extract and analyze hidden information in digital files. ● Examine source code for vulnerabilities and reverse engineering to understand software behavior. WHO THIS BOOK IS FOR The book is for a wide range of people interested in cybersecurity, including professionals, researchers, educators, students, and those considering a career in the field. TABLE OF CONTENTS 1. Getting Started 2. Passive Reconnaissance 3. Active Reconnaissance 4. Development Environment for Advanced Techniques 5. Forensic Analysis 6. Metadata Extraction and Parsing 7. Malware and Phishing Analysis 8. Working with Wireless Devices 9. Working with Network Utilities 10. Source Code Review and Reverse Engineering 11. System Hardening, Discovery, and Implementation 12. Defensive Security Techniques 13. Offensive Security Techniques and Pen Testing
Machine Learning For Cybersecurity Cookbook
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Author : Emmanuel Tsukerman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-25
Machine Learning For Cybersecurity Cookbook written by Emmanuel Tsukerman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Computers categories.
Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key FeaturesManage data of varying complexity to protect your system using the Python ecosystemApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineeringAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learnLearn how to build malware classifiers to detect suspicious activitiesApply ML to generate custom malware to pentest your securityUse ML algorithms with complex datasets to implement cybersecurity conceptsCreate neural networks to identify fake videos and imagesSecure your organization from one of the most popular threats – insider threatsDefend against zero-day threats by constructing an anomaly detection systemDetect web vulnerabilities effectively by combining Metasploit and MLUnderstand how to train a model without exposing the training dataWho this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.
Python For Cybersecurity
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Author : Howard E. Poston
language : en
Publisher: Wiley
Release Date : 2022-03-22
Python For Cybersecurity written by Howard E. Poston and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Computers categories.
This book provides a structured, hands-on introduction to using Python for cybersecurity. With the MITRE ATT&CK framework as a guide, readers will explore the lifecycle of a cyberattack and see how Python code can be used to solve key challenges at each stage of the process. Each application will be explored from the perspective of both the attacker and the defender, showing how Python can be used to automate attacks and to detect and prevent them. By following the MITRE ATT&CK framework, this book explores the use of Python for a number of cybersecurity uses cases, including: Intelligence collection Exploitation and lateral movement Persistence and privilege escalation Command and control Extraction and encryption of valuable data Each use case will include ready-to-run code samples and demonstrations of their use in a target environment. Readers will gain hands-on experience in applying Python to cybersecurity use cases and practice in creating and adapting Python code to address novel situations.
Violent Python
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Author : TJ O'Connor
language : en
Publisher: Newnes
Release Date : 2012-12-28
Violent Python written by TJ O'Connor and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-28 with Computers categories.
Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus. - Demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts - Write code to intercept and analyze network traffic using Python. Craft and spoof wireless frames to attack wireless and Bluetooth devices - Data-mine popular social media websites and evade modern anti-virus
Hands On Machine Learning For Cybersecurity
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Author : Soma Halder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31
Hands On Machine Learning For Cybersecurity written by Soma Halder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
Python Penetration Testing Cookbook
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Author : Rejah Rehim
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-11-28
Python Penetration Testing Cookbook written by Rejah Rehim and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-28 with Computers categories.
Over 50+ hands-on recipes to help you pen test networks using Python, discover vulnerabilities, and find a recovery path About This Book Learn to detect and avoid various types of attack that put system privacy at risk Enhance your knowledge of wireless application concepts and information gathering through practical recipes Learn a pragmatic way to penetration-test using Python, build efficient code, and save time Who This Book Is For If you are a developer with prior knowledge of using Python for penetration testing and if you want an overview of scripting tasks to consider while penetration testing, this book will give you a lot of useful code for your toolkit. What You Will Learn Learn to configure Python in different environment setups. Find an IP address from a web page using BeautifulSoup and Scrapy Discover different types of packet sniffing script to sniff network packets Master layer-2 and TCP/ IP attacks Master techniques for exploit development for Windows and Linux Incorporate various network- and packet-sniffing techniques using Raw sockets and Scrapy In Detail Penetration testing is the use of tools and code to attack a system in order to assess its vulnerabilities to external threats. Python allows pen testers to create their own tools. Since Python is a highly valued pen-testing language, there are many native libraries and Python bindings available specifically for pen-testing tasks. Python Penetration Testing Cookbook begins by teaching you how to extract information from web pages. You will learn how to build an intrusion detection system using network sniffing techniques. Next, you will find out how to scan your networks to ensure performance and quality, and how to carry out wireless pen testing on your network to avoid cyber attacks. After that, we'll discuss the different kinds of network attack. Next, you'll get to grips with designing your own torrent detection program. We'll take you through common vulnerability scenarios and then cover buffer overflow exploitation so you can detect insecure coding. Finally, you'll master PE code injection methods to safeguard your network. Style and approach This book takes a recipe-based approach to solving real-world problems in pen testing. It is structured in stages from the initial assessment of a system through exploitation to post-exploitation tests, and provides scripts that can be used or modified for in-depth penetration testing.
Mastering Machine Learning For Penetration Testing
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Author : Chiheb Chebbi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-27
Mastering Machine Learning For Penetration Testing written by Chiheb Chebbi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Language Arts & Disciplines categories.
Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.
Python For Offensive Pentest
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Author : Hussam Khrais
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-26
Python For Offensive Pentest written by Hussam Khrais and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-26 with Computers categories.
Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language Key Features Comprehensive information on building a web application penetration testing framework using Python Master web application penetration testing using the multi-paradigm programming language Python Detect vulnerabilities in a system or application by writing your own Python scripts Book Description Python is an easy-to-learn and cross-platform programming language that has unlimited third-party libraries. Plenty of open source hacking tools are written in Python, which can be easily integrated within your script. This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous shell. You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples. You will set up your own virtual hacking environment in VirtualBox, which will help you run multiple operating systems for your testing environment. By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch. What you will learn Code your own reverse shell (TCP and HTTP) Create your own anonymous shell by interacting with Twitter, Google Forms, and SourceForge Replicate Metasploit features and build an advanced shell Hack passwords using multiple techniques (API hooking, keyloggers, and clipboard hijacking) Exfiltrate data from your target Add encryption (AES, RSA, and XOR) to your shell to learn how cryptography is being abused by malware Discover privilege escalation on Windows with practical examples Countermeasures against most attacks Who this book is for This book is for ethical hackers; penetration testers; students preparing for OSCP, OSCE, GPEN, GXPN, and CEH; information security professionals; cybersecurity consultants; system and network security administrators; and programmers who are keen on learning all about penetration testing.
Python For Cybersecurity
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Author : Edrick Goad
language : en
Publisher: Independently Published
Release Date : 2021-06-30
Python For Cybersecurity written by Edrick Goad and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with categories.
Python for Cybersecurity is an introductory book designed to help teach Python scripting, Cybersecurity principles, Linux, and automation. This book is designed for learners who have little or no experience in these areas, and builds on we learn through the book with scripts and activities. Using a learn-by-doing process, the goal of this book is to provide working examples that can be built on and extended. Don't get stuck needing to learn the basics of programming languages before having something useable. Build quickly off what you see.