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Jose Manuel Ortega Candel

Technology

More from Jose Manuel Ortega Candel

En el mundo actual, las APIs juegan un papel importante en la creación de aplicaciones y servicios robustos y flexibles. Sin embargo, con la expansión de las APIs, también surge la necesidad de abordar los desafíos de seguridad asociados. En esta charla, exploraremos en detalle el OWASP Top 10 de Seguridad en APIs, una lista de las principales vulnerabilidades que los desarrolladores y equipos de seguridad deben tener en cuenta al diseñar, desarrollar y asegurar sus APIs. Por último, comentaremos las mejores prácticas para mitigar los riesgos y garantizar la seguridad de tus APIs. Entre los puntos a tratar podemos destacar: 1.Introducir el concepto de seguridad en las APIs 2.OWASP Top 10 y su importancia para la seguridad en APIs 3.Actualización del OWASP Top 10 security en 2023 4.Herramientas para evaluar y mejorar la seguridad de tus APIs. 5.Estrategias y mejores prácticas para garantizar la seguridad de tus APIs.

Asegurando tus APIs Explorando el OWASP Top 10 de Seguridad en APIs.pdf

Jose Manuel Ortega Candel

La seguridad en aplicaciones web es un aspecto fundamental para garantizar la protección de los datos y la confidencialidad de los usuarios. Si nuestro objetivo es aprender como Django gestiona la seguridad, PyGoat es una aplicación desarrollada con Django vulnerable de forma intencionada que puede ser utilizada para aprender a asegurar nuestras aplicaciones Django. En esta charla, analizamos como Django gestiona la seguridad utilizando la aplicación vulnerable Pygoat, identificando los problemas de seguridad subyacentes. Aprenderemos sobre vulnerabilidades de seguridad comunes como las que aparecen en el OWASP Top 10 en aplicaciones Django y cómo solucionarlas para que podamos mantener nuestras aplicaciones a salvo de atacantes. Entre los puntos a tratar podemos destacar: Introducción a la seguridad en aplicaciones Django Pygoat como ejemplo de aplicación vulnerable Vulnerabilidades OWASP top 10 y mitigación

PyGoat Analizando la seguridad en aplicaciones Django.pdf

Jose Manuel Ortega Candel

En la actualidad, la tecnología blockchain y los smart contracts están revolucionando la forma en que interactuamos con la información y realizamos transacciones. Sin embargo, esta innovación no está exenta de desafíos en cuanto a la ciberseguridad se refiere. En esta charla, exploraremos los desafíos desde el punto de vista de la ciberseguridad en blockchain y smart contracts, así como las soluciones y enfoques para mitigar los riesgos asociados. A medida que continuamos adoptando estas tecnologías disruptivas, es fundamental comprender y abordar adecuadamente los aspectos de seguridad para minimizar los posibles riesgos. Entre los puntos a tratar podemos destacar: 1. Fundamentos de Blockchain y Smart Contracts 2. Desafíos de Seguridad en Blockchain 3. Seguridad en Smart Contracts 4. Auditorías y Pruebas de Seguridad en smart contracts

Ciberseguridad en Blockchain y Smart Contracts: Explorando los Desafíos y Sol...

Jose Manuel Ortega Candel

In the latest versions of K8s there has been an evolution regarding the definition of security strategies at the level of access policies to the cluster by users and developers. The security contexts (securityContext) allow you to define the configurations at the level of access control and privileges for a pod or container in a simple way using keywords in the configuration files. To facilitate the implementation of these security strategies throughout the cluster, new strategies have emerged such as the Pod Security Policy (PSP) where the cluster administrator is in charge of defining these policies at the cluster level with the aim that developers can follow these policies. Other interesting projects include Open Policy Agent (OPA) as the main cloud-native authorization policy agent for creating policies and managing user permissions for access to applications. The objective of this talk is to present the evolution that has occurred in security strategies and how we could use them together, as well as analyze their behavior in accessing resources. Among the points to be discussed we can highlight: -Introduction to security strategies in K8s environments -Pod Security Admission(PSA) vs Open Policy Agent (OPA) -Combination of different security strategies together -Access to resources in privileged and non-privileged mode

Evolution of security strategies in K8s environments- All day devops

Jose Manuel Ortega Candel

In the latest versions of K8s there has been an evolution regarding the definition of security strategies at the level of access policies to the cluster by users and developers. The security contexts (securityContext) allow you to define the configurations at the level of access control and privileges for a pod or container in a simple way using keywords in the configuration files. To facilitate the implementation of these security strategies throughout the cluster, new strategies have emerged such as the Pod Security Policy (PSP) where the cluster administrator is in charge of defining these policies at the cluster level with the aim that developers can follow these policies. Other interesting projects include Open Policy Agent (OPA) as the main cloud-native authorization policy agent for creating policies and managing user permissions for access to applications. The objective of this talk is to present the evolution that has occurred in security strategies and how we could use them together, as well as analyze their behavior in accessing resources. Among the points to be discussed we can highlight: *Introduction to security strategies in K8s environments *Pod Security Admission(PSA) vs Open Policy Agent (OPA) *Combination of different security strategies together *Access to resources in privileged and non-privileged mode

Evolution of security strategies in K8s environments.pdf

Jose Manuel Ortega Candel

No production system is complete without a way to monitor it. In software, we define observability as the ability to understand how our system is performing. This talk dives into capabilities and tools that are recommended for implementing observability when running K8s in production as the main platform today for deploying and maintaining containers with cloud-native solutions. We start by introducing the concept of observability in the context of distributed systems such as K8s and the difference with monitoring. We continue by reviewing the observability stack in K8s and the main functionalities. Finally, we will review the tools K8s provides for monitoring and logging, and get metrics from applications and infrastructure. Between the points to be discussed we can highlight: -Introducing the concept of observability -Observability stack in K8s -Tools and apps for implementing Kubernetes observability -Integrating Prometheus with OpenMetrics

Implementing Observability for Kubernetes.pdf

Jose Manuel Ortega Candel

La computación distribuída es un nuevo modelo de computación que surgió con el objetivo de resolver problemas de computación masiva donde diferentes máquinas trabajan en paralelo formando un clúster de computación. En los últimos años han surgido diferentes frameworks como Apache Hadoop, Apache Spark y Apache Flink que permiten resolver este tipo de problemas donde tenemos datos masivos desde diferentes fuentes de datos. Dentro del ecosistema de Python podemos destacar las librerías de Pyspark y Dask de código abierto que permiten la ejecución de tareas de forma paralela y distribuida en Python. Entre los puntos a tratar podemos destacar: Introducción a la computación distribuida Comparando tecnologías de computación distribuida Frameworks y módulos en Python para computación distribuida Casos de uso en proyectos Big Data

Computación distribuida usando Python

Jose Manuel Ortega Candel

En los últimos años, las arquitecturas cloud han evolucionado a un modelo serverless que trae como principales ventajas la posibilidad de ejecutar código sin aprovisionar ni administrar servidores. Este tipo de arquitecturas permite ejecutar el código en una infraestructura con alta disponibilidad y escalado automático, así como capacidades de monitorización de forma automática. Sin embargo, estos tipos de arquitecturas introducen un conjunto completamente nuevo de implicaciones de seguridad que deben tenerse en cuenta al crear sus aplicaciones. El OWASP Serverless Top 10 es una excelente referencia para conocer los posibles riesgos de seguridad y las consecuencias de implementar una arquitectura serverless, así como también cómo mitigarlos. En esta charla se analizará el estado actual de la seguridad en arquitecturas serverless, los principales riesgos y cómo podríamos mitigarlos de una forma sencilla. Entre los puntos a tratar podemos destacar: -Introducción a las arquitecturas serverless -Seguridad en arquitecturas serverless y OWASP Serverless Top 10 -Pentesting sobre aplicaciones serverless -Mejoras prácticas de seguridad al trabajar en entornos cloud

Seguridad en arquitecturas serverless y entornos cloud

Jose Manuel Ortega Candel

La adopción de arquitecturas basadas en microservicios ha crecido de manera exponencial en los últimos años. Cuando se trata de obtener la máxima seguridad utilizamos lo que se denomina arquitecturas de “confianza cero” (zero trust architecture). Las arquitecturas de este tipo establecen mecanismos de autenticación y autorización entre nuestros propios microservicios, aumentando de esta manera la seguridad en entornos altamente regulados. El objetivo de esta charla es dar a conocer los principios básicos para construir aplicaciones utilizando arquitecturas zero trust y algunas herramientas para realizar auditorías de seguridad en entornos cloud. Entre los puntos a tratar podemos destacar: Introducción a DevSecOps y modelado de amenazas Modelo de confianza cero(zero trust) en la nube Mejoras prácticas a nivel de permisos y estrategias de seguridad al trabajar en entornos cloud Herramientas de análisis orientadas al pentesting en entornos cloud

Construyendo arquitecturas zero trust sobre entornos cloud

Jose Manuel Ortega Candel

Python has become the most widely used language for machine learning and data science projects due to its simplicity and versatility. Furthermore, developers get to put all their effort into solving an Machine Learning or data science problem instead of focusing on the technical aspects of the language. For this purpose, Python provides access to great libraries and frameworks for AI and machine learning (ML), flexibility and platform independence In this talk I will try to get a selection of libraries and frameworks that can help us introduce in the Machine Learning world and answer the question that all people is doing, What makes Python the best programming language for machine learning?

Tips and tricks for data science projects with Python

Jose Manuel Ortega Candel

In this talk I will show how to save secret keys in Docker containers and K8s in production and best practices for saving and securing distribution of secrets. With Docker and k8s secrets we can manage information related to keys that are needed at runtime but cannot be exposed in the Docker image or source code repository. These could be the main talking points: 1.Challenges of security and secret keys in containers 2.Best practices for saving and securing distribution of secrets in Docker Containers 3.Managing secrets in Kubernetes using volumes and sealed-secrets 4.Other tools for distributing secrets in containers like Hashicorp Vault and KeyWhiz

Sharing secret keys in Docker containers and K8s

Jose Manuel Ortega Candel

One of the best practices from a security point of view is to introduce the management of the certificates that we are going to use to support protocols such as SSL / TLS. In this talk we will explain cert-manager and his implementation in K8s as a native Kubernetes certificate management controller that allows us to manage connection certificates and secure communications through SSL/TLS protocols. Later I will explain the main functionalities and advantages that cert-manager provides, for example it allows us to validate that the certificates we are using in different environments are correct. Finally, some use cases are studied in which to use cert-manager and the integration with other services such as Let's Encrypt or HashiCorp Vault.

Implementing cert-manager in K8s

Jose Manuel Ortega Candel

Python se ha convertido en el lenguaje más usado para desarrollar herramientas dentro del ámbito de la seguridad. Esta charla se centrará en las diferentes formas en que un analista puede aprovechar el lenguaje de programación Python tanto desde el punto de vista defensivo como ofensivo. Desde el punto de vista defensivo Python es una de las mejores opciones como herramienta de pentesting por la gran cantidad de módulos que nos pueden ayudar a desarrollar nuestras propias herramientas con el objetivo de realizar un análisis de nuestro objetivo. Desde el punto de vista ofensivo podemos utilizar Python para recolección de información de nuestro objetivo de forma pasiva y activa. El objetivo final es obtener el máximo conocimiento posible en el contexto que estamos auditando. Entre los principales puntos a tratar podemos destacar: 1.Introducción a Python para proyectos de ciberseguridad(5 min) 2.Herramientas de pentesting(10 min) 3.Herramientas Python desde el punto de vista defensivo(10 min) 4.Herramientas Python desde el punto de vista ofensivo(10 min)

Python para equipos de ciberseguridad(pycones)

Jose Manuel Ortega Candel

Python para equipos de ciberseguridad

Jose Manuel Ortega Candel

Shodan es una de las plataformas de hacking más utilizadas en todo el mundo que nos brinda un completo motor de búsqueda avanzado desde el que podemos encontrar cualquier dispositivo conectado a la red junto con sus servicios activos, puertos abiertos y posibles vulnerabilidades. En esta charla mostraremos las principales herramientas que podemos utilizar para maximizar nuestras búsquedas en Shodan, así como desarrollar nuestros propios scripts con python para automatizar las búsquedas. Entre los puntos a tratar podemos destacar: -Filtros y búsquedas personalizadas en Shodan -Detectando vulnerabilidades con Shodan -Buscar bases de datos abiertas en Shodan -Shodan desde lineas de comandos con ShodanCLI

Shodan Tips and tricks. Automatiza y maximiza las búsquedas shodan

Jose Manuel Ortega Candel

La charla trataría sobre cómo usar el stack Elasticsearch, Logstash y Kibana (ELK) para respuestas ante incidentes, monitorización de logs y otras tareas relacionadas con los equipos blue team. Por ejemplo, podríamos analizar los registros basados en autenticación y eventos del sistema operativo. Entre los puntos a tratar podemos destacar: -Introducción al estándar ELK y cómo nos puede ayudar para crear nuestro laboratorio de análisis. -Comentar las diferentes fuentes de datos que podríamos usar (eventos del sistema operativo, capturas de red). -Indexación y búsqueda de datos en ElasticSearch. -Recopilación y manipulación de datos con LogStash. -Creación de dashboards con Kibana. -Ejemplo de aplicación para alertar sobre eventos basados en la autenticación en el sistema operativo.

ELK para analistas de seguridad y equipos Blue Team

Jose Manuel Ortega Candel

The world is advancing towards accelerated deployments using DevOps and cloud native technologies. In architectures based on microservices, container monitoring and management become even more important as we need to scale our application. In this talk, I will show how to monitor and manage docker containers to manage the status of your applications. We will review how to monitor for security events using open source solutions to build an actionable monitoring system for Docker and Kubernetes. Through a web interface, tools such as cadvisor, portainer and rancher give us a global overview of the containers you are running as well as facilitate their management. These could be the main points to discuss: Challenges in containers and architectures distributed from the point of view of monitoring and administration Most important metrics that we can use to measure container performance. Tools for monitoring and management of containers such as cadvisor, sysdig and portainer Rancher as a platform for the administration of Kubernetes

Monitoring and managing Containers using Open Source tools

Jose Manuel Ortega Candel

In this talk I will try explain the memory internals of Python and discover how it handles memory management and object creation. The idea is explain how objects are created and deleted in Python and how garbage collector(gc) functions to automatically release memory when the object taking the space is no longer in use. I will review the main mechanims for memory allocation and how the garbage collector works in conjunction with the memory manager for reference counting of the python objects. Finally, I will comment the best practices for memory managment such as writing efficient code in python scripts.

Python Memory Management 101(Europython)

Jose Manuel Ortega Candel

In this talk I will speak about main tips for integrating Security into DevOps. I will share my knowledge and experience and help people learn to focus more on DevOps Security. In addition to the so-called best practices, the development of efficient, readable, scalable and secure code, requires the right tools for security development. These could be the main talking points: -How to integrate security into iteration and pipeline application development with containers. -How to secure development environments. -DevOps security best practices

SecDevOps containers

Jose Manuel Ortega Candel

In this talk I will try explain the memory internals of Python and discover how it handles memory management and object creation.The idea is explain how objects are created and deleted in Python and how garbage collector(gc) functions to automatically release memory when the object taking the space is no longer in use. Also I will review the main mechanisms for memory allocation and how the garbage collector works in conjunction with the memory manager for reference counting of the python objects. Finally, I will comment the best practices for memory managment such as writing efficient code. These could be the main talking points: -Introduccition to memory management -Garbage collector and reference counting with python -Review the gc module for configuring the python garbage collector -Best practices for memory managment

Python memory managment. Deeping in Garbage collector

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