Course Brief
About this Course
This course covers the essential skills needed for bug bounty hunting and web reconnaissance, including domain discovery, subdomain enumeration, port scanning, content discovery, and vulnerability scanning. Learn how to use the latest tools and techniques for ethical hacking and online security assessments.
Master bug bounty hunting and web reconnaissance techniques to identify and exploit vulnerabilities in websites and applications.
Eligibility
Requirements
- Basic understanding of networking and web technologies.
- Familiarity with Kali Linux or any penetration testing operating system.
- Willingness to learn ethical hacking techniques and tools.
Training Plan
Learning Roadmap
01
Foundation Studio: INTRODUCTION & DISCOVERING DOMAIN
- INTRODUCTION TO COURSE
- INSTALLING KALI LINUX
- Practice what is domain through a guided ai and data practice activity.
- Domain Discovery #1
- Domain Discovery #2
- Domain Discovery #3
- guided portfolio activity Exercise- 01
02
Practical Lab: DISCOVERING SUBDOMAINS
- Practice what is subdomain through a guided ai and data practice activity.
- Subdomain Enumeration, Subfinder
- Subfinder, Configuring API
- Subdomain Enumeration, AMASS
- AMASS, Filtering out Data
- AMASS, API Configuration
- Subdomain Enumeration, Bruteforcing
- guided portfolio activity Exercise- 02
03
Applied Workflow: DISCOVERING SUBDOMAINS PART 02
- Subdomain Bruteforcing, FFuF
- Subdomain Bruteforcing, GoBuster
- Subdomain Bruteforcing, AMASS
- Subdomain Bruteforcing, PureDNS
- Subdomain Enumeration, VHOST
- Practice combining tools through a guided ai and data practice activity.
- Filtering Live Domains, Subdomains
- guided portfolio activity Exercise- 03
04
Professional Practice: PORT SCANNING
- Practice waf & origin ip through a guided ai and data practice activity.
- Finding Origin IP Address #1
- Finding Origin IP Address #2
- Port Scanning with NMAP
- Vulnerability Scanning with NMAP
- Port Scanning with NAABU
- guided portfolio activity Exercise- 04
05
Portfolio Sprint: CONTENT DISCOVERY
- Practice installing tools through a guided ai and data practice activity.
- Content Discovery, Basics of Dirsearch
- Dirsearch, Finding Useful Information
- Dirsearch, Adding Multiple Status Codes
- Dirsearch, Using Custom Wordlist
- Dirsearch, Adding Custom Headers
- Dirsearch, Recursive Content Enumeration
- Content Discovery, Introduction to FFUF
- FFUF, Filtering out output
- guided portfolio activity Exercise- 05
06
Career Readiness: CONTENT DISCOVERY PART 02
- FFUF, Custom Headers
- FFUF, Using Like a Pro!
- Discovering Content Like a Pro #1
- Discovering Content Like a Pro #2
- Introduction to Passive Enumeration
- Passive Enumeration, GetAllUrls
- Passive Enumeration, WayBackURLs
- Passive Enumeration, Combining Tools
- Active Scanning, Katana
- Choosing the Right Wordlist
- guided portfolio activity Exercise- 06
07
Portfolio Sprint: AI and Data Practice Review
- Review the major ai and data practice concepts through a guided recap.
- Organize class practice into a simple portfolio-ready workflow.
- Apply the learned process on a realistic task with instructor guidance.
- Prepare next-step notes for continued practice after course completion.