IT Hacking and Security Using Python

Network packet analysis is essential when conducting incident analysis and vulnerability analysis. Among the tools available, Wireshark is the most widely used, and this course covers the complete utilization of Wireshark and provides understanding through incident analysis case studies.

IT services are rapidly transitioning to a cloud environment. You will learn security practices from the basics of building a virtual infrastructure to monitor security threats in each area and diagnose vulnerabilities to secure the domestic Naver cloud environment.

This is an introductory malware analysis course that even beginners can easily understand. Based on methodologies such as static analysis, dynamic analysis, and automated analysis of malware analysis, you will analyze various sample cases. It also covers in detail how to use various tools necessary for malware analysis.

IT services are rapidly transitioning to cloud environments. This covers everything from basic virtual infrastructure construction to understanding service operation, monitoring, and security areas for each area to secure the MS Azure cloud environment.

Digital forensic analysis techniques are used in many fields, but it is always difficult to study. This course is composed of theory and practice to make it easy to follow the many uses of digital forensic analysis.

You can understand the integrated log analysis construction step by step through practice using ELK, and it presents a method to visualize the logs of each system by integrating them. It can be used in various fields such as general data analysis utilization, breach incident analysis response, etc.

The most difficult thing when malware is distributed is script obfuscation. Understand the obfuscation technique and analyze the malware executable file that is distributed after decrypting it.

IT services are rapidly transitioning to cloud environments. You will learn security practices from basic virtual infrastructure construction to security threat monitoring and vulnerability diagnosis for each area to secure the Amazon AWS cloud environment.

Learn the content that will appear on the exam to pass the Level 2 Digital Forensics Specialist written exam.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

From beginners to practitioners who are curious about mock hacking work and web application vulnerabilities, it can be viewed. The following contents are covered: Bee-box is a virtual environment where bWAPP (buggy Web Application), an open source web application that can attack web vulnerabilities, is installed, and it includes the latest system attack techniques and the difficulty level is adjusted for each item.

You can understand the Windows operating system structure and memory structure, and it covers in detail how to analyze malware using information stored in memory. It also covers how to directly create a Volatility plugin that is used as a memory analysis tool and achieve important information acquisition. It is highly recommended for those who have chosen a career as a malware analyst or a breach response analyst.

You can learn how to fully utilize Frida, which is used in mock hacking practice.

IT infrastructures are being moved to virtualization and cloud environments. Services are becoming more diverse, and many applications are being operated on the infrastructure. In order to respond to the security of increasingly complex infrastructures, various security devices are being introduced. However, this will be a lecture where you can sufficiently practice and prepare using open tools for things that you cannot experience without purchasing security devices.

Learn how to use Notion, the next hottest app after Evernote, step-by-step from the beginning with a focus on practice.

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.

Cyber security threats are increasing every year, targeting external services and internal system penetration and personal information theft. This article covers basic security activities that developers and operators must perform to operate, develop, and protect infrastructure, applications, and the cloud.

Cyber security threats are increasing every year, stealing personal information and abusing privacy. This course covers security issues and security activities that employees must know and follow in their work and personal lives.

You will learn how to analyze and quickly visualize various types of data using the Python Streamlit library and output it as a web service. You can use it when you want to apply it to your work faster than the existing web development method.

This lecture provides a general guide on how to prepare while studying when you want to choose a career in IT security penetration testing, and what questions and answers to prepare for the interview. I will share my experience working as a penetration testing consultant, at large companies, and in the financial sector, and currently running a penetration testing consulting business.

This lecture guides you through data analysis using Python and how to apply it to the IT security field.

This course is for those who want to quickly learn only the essential Python basics.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 2, you will solve problems on the topic of arrays and functions.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

If you are planning a service, a website is an essential element. Of course, in addition to the service, most of the currently provided program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered the easiest programming language, and how to set it up to an actual operational state.

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Let's solve 30 problems from the Python coding game CheckiO together. You can improve your skills by solving difficult Python problems. This lecture is for those who have learned basic Python grammar and have built up some skills. You can find more lectures on the YouTube channel Kim Left-hand Coding.

"Automating your work? Who doesn't know what's good for them?" You don't need to use a knife to catch a chicken. I want to show you that 10 lines of simple code are more practical than complex crawlers on the Internet.

It is configured to allow you to learn programming languages (Python, Terraform) for the cloud. You can directly create and apply simple yet tedious repetitive tasks, track when and how you deployed, and implement your company's unique policies that specific solutions cannot address. Specifically, we will apply a security architecture using Terraform, the most popular IaC (Infrastructure as Code) application, and also proceed with creating an ultra-simple dashboard using Python!

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

This is a Python course provided by shop2world.

This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know it.

You will thoroughly understand the principles!

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.