José Manuel Ortega
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About José Manuel Ortega
José Manuel Ortega is a Software Engineer and he focuses on new technologies, open source, security and testing. His career target from the beginning has been to specialize in Python and security testing projects. In recent years he has developed interest in security development, especially in pentesting with python. Currently he is working as a security tester engineer and his functions in the project are analysis and testing the security of applications both web and mobile environments. He has taught at university level and collaborated with the official school of computer engineers. He has also been a speaker at various conferences.He is very enthusiastic to learn about new technologies and he loves to share his knowledge with community.
Conferences and talks related with python,security and docker are available in my personal site http://jmortega.github.io/
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Books By José Manuel Ortega
OSINT (Open Source INTelligence o Inteligencia de fuentes abiertas) es una forma de gestión de recopilación de inteligencia que implica encontrar, seleccionar y adquirir información de fuentes disponibles públicamente y analizarla para producir inteligencia que nos pueda servir en nuestras investigaciones y procesos de auditoría.
El lector aprenderá las diferentes herramientas que podemos utilizar cuando tenemos en mente la recopilación de información e inteligencia sobre un dominio u objetivo espefífico, además de obtener información sobre las principales amenazas. El conocimiento de las buenas prácticas y herramientas open source facilitan la obtención de esta información utilizando herramientas que puedes instalar en local y servicios en la nube.
1. Introducción a la inteligencia de fuentes abiertas
2. Herramientas OSINT
3. Buscadores especializados
4. Redes sociales, búsqueda de personas y análisis de metadatos
5. Geolocalización y frameworks OSINT
6. Footprinting & Information Gathering
7. Análisis de malware y ciberinteligencia
8. Inteligencia de amenazas(Threat intelligence)
9. Glosario de términos
Achieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools
Key Features
- Deal with remote network servers using SSH, FTP, SNMP and LDAP protocols.
- Design multi threaded and event-driven architectures for asynchronous servers programming.
- Leverage your Python programming skills to build powerful network applications
Book Description
Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be.
Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python.
As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks.
What you will learn
- Execute Python modules on networking tools
- Automate tasks regarding the analysis and extraction of information from a network
- Get to grips with asynchronous programming modules available in Python
- Get to grips with IP address manipulation modules using Python programming
- Understand the main frameworks available in Python that are focused on web application
- Manipulate IP addresses and perform CIDR calculations
Who this book is for
If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed.
Table of Contents
- Network Programming with Python
- Programming for the Web with HTTP
- Application Programming Interface in Action
- Web Scraping with BeautifulSoup and Scrapy
- Engaging with Email
- Interacting with Remote Systems
- Working with IP and DNS
- Implementing IPv6 and Address manipulation
- Performing Network Automation with Python and Ansible
- Programming with Sockets
- Designing Servers and Asynchronous programming
- Designing Applications on the Web
Master Python scripting to build a network and perform security operations
Key Features
- Learn to handle cyber attacks with modern Python scripting
- Discover various Python libraries for building and securing your network
- Understand Python packages and libraries to secure your network infrastructure
Book Description
It’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting.
This book covers topics from building a network to the different procedures you need to follow to secure it. You’ll first be introduced to different packages and libraries, before moving on to different ways to build a network with the help of Python scripting. Later, you will learn how to check a network’s vulnerability using Python security scripting, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
What you will learn
- Develop Python scripts for automating security and pentesting tasks
- Discover the Python standard library's main modules used for performing security-related tasks
- Automate analytical tasks and the extraction of information from servers
- Explore processes for detecting and exploiting vulnerabilities in servers
- Use network software for Python programming
- Perform server scripting and port scanning with Python
- Identify vulnerabilities in web applications with Python
- Use Python to extract metadata and forensics
Who this book is for
This book is ideal for network engineers, system administrators, or any security professional looking at tackling networking and security challenges. Programmers with some prior experience in Python will get the most out of this book. Some basic understanding of general programming structures and Python is required.
Table of Contents
- Working with Python Scripting
- System Programming Packages
- Socket Programming
- HTTP Programming
- Analyzing Network Traffic
- Gathering Information from Servers
- Interacting with FTP ,SSH and SNMP Servers
- Working with Nmap Scanners
- Connecting with Metasploit Framework
- Interacting with Vulnerabilities Scanner
- Identifying Server Vulnerabilities in Web Applications
- Extracting Geolocation and Metadata from Documents,Images and Browsers
- Cryptography and Steganography
- Assessments
1. Introducción a las arquitecturas basadas en microservicios
2. Generadores de microservicios
3. Patrones de diseño
4. Microservicios en Java
5. Programación reactiva
6. Tecnologías basadas en contenedores
7. Introducción a Service mesh
8. Plataformas serverless
9. Arquitecturas basadas en eventos
10. Arquitecturas big data
11. Glosario de términos