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Description of  Learn the Art of Bug Bounty Automation

Published 4/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 59m | Size: 1.8 GB Mastering Bug Bounty Automation What you'll learn Implement automated enumeration techniques in bug bounty hunting Utilize various automation tools for bug bounty hunting Identify and exploit vulnerabilities efficiently using automation Setup and configure essential tools for automated bug bounty hunting Requirements Basic understanding of cybersecurity concepts Familiarity with common bug bounty platforms and websites Access to a computer with internet connectivity Comfortable with using command-line interfaces Description Welcome to the Free Bug Bounty Automation Course! In this course, you will learn the fundamentals of bug bounty hunting and how to automate various processes using Linux-based tools. Section 1: Introduction Lecture 1: Introduction to Bug Bounty & Automation In this lecture, we introduce bug bounty programs and the concept of automation in bug hunting. Learn how automation can enhance your efficiency and effectiveness in finding vulnerabilities. Section 2: Module 2 - Tools Installation In this section, we will guide you through the installation process of essential tools for bug bounty hunting. Lecture 2: Installation of Tools Phase 1 Get started with the installation of foundational tools necessary for bug bounty automation. External Resources Access all the course notes and resources in one convenient location. Lecture 3: Tools Installation - Subfinder Learn how to install and set up Subfinder, a tool used for subdomain enumeration. Lecture 4: How to Install Assetfinder Step-by-step guide on installing Assetfinder, another essential tool for discovering subdomains. Lecture 5: How to Install Findomain Discover the installation process of Findomain, a tool for fast subdomain enumeration. Lecture 7: How to Install Katana Tool Learn how to install Katana Tool, assisting in automated scanning and reconnaissance. Lecture 8: Install Nuclei Framework for Vulnerabilities Install Nuclei Framework to automate the detection of vulnerabilities in web applications. Lecture 9: Install Nuclei Templates in Kali Linux Get hands-on with installing Nuclei templates on Kali Linux for targeted vulnerability scanning. Lecture 10: Install Bug Bounty Remaining Tools Complete the installation of remaining bug bounty tools to streamline your workflow. Lecture 11: How to Installhttpx Tool httpx is a fast and multi-purpose HTTP toolkit that allows running multiple probes using the retryablehttp library. It is designed to maintain result reliability with an increased number of threads. Lecture 12: Automate the Process of Finding Vulnerabilities Here, learners delve into the practical aspects of automating vulnerability identification. Lectures explore automation techniques in bug bounty hunting, providing insights into streamlining the process for efficiency. Lecture 13: Exploiting and Finding Vulnerabilities with Unique Methods This section goes beyond conventional methods, teaching learners to identify and exploit vulnerabilities using unique techniques. Lectures cover various methods to discover and exploit vulnerabilities, enhancing learners' proficiency in bug bounty hunting. Conclusion: The Final Chapter The final lecture emphasizes the culmination of skills learned throughout the curriculum, guiding learners on how to automate the entire process effectively using a single script. Through a structured approach and practical demonstrations, this curriculum empowers learners to become proficient bug bounty hunters, capable of automating processes and uncovering vulnerabilities using innovative methods. This Bug Bounty Automation Course is designed to equip you with the skills needed to automate bug-hunting processes using various tools. From foundational concepts to practical tool installations, this course provides a comprehensive introduction to bug bounty automation. Dive in and enhance your bug-hunting capabilities today! Who this course is for