Skills: Python Programming, Nmap, Socket Programming, Network Security, Automation
Tools: Python, Nmap, Socket Library, JSON/CSV (for reporting)

Description: In this project, you will build a Network Vulnerability Scanner to proactively detect security weaknesses in a network. You’ll write Python scripts to scan hosts for open ports, running services, and potential vulnerabilities. Using Nmap integration, your tool will simulate real-world penetration testing workflows, helping you understand how attackers identify network gaps and how security teams patch them. You’ll also implement automated reporting in formats like JSON or CSV to document vulnerabilities systematically. This hands-on project mirrors the tasks of professional network security analysts, giving you a deep understanding of network reconnaissance, threat detection, and security auditing practices.

Outcome:
A fully functional scanner that reports vulnerabilities in real-time, helping learners gain practical skills in network security, penetration testing, and ethical hacking. This experience is highly valuable for roles like Cyber Security Analyst or Ethical Hacker.

Skills: Malware Analysis, Python Programming, Hashing (MD5/SHA), Sandbox Testing, File Security
Tools: Python, Virtual Sandbox, VirusTotal API, Hash Libraries

Description:
Malware is a critical threat in cybersecurity, and understanding its behavior is essential. In this project, you will develop a Malware Detection & Analysis System that inspects suspicious files, calculates hashes (MD5/SHA), and compares them against known malware databases. You will test files in a sandboxed environment, learning to safely analyze potentially harmful programs. The project covers behavioral analysis, signature detection, and file integrity checks, giving you a comprehensive understanding of how malware spreads and how it can be contained. By the end, you’ll be able to automate threat detection and strengthen system defenses using Python and industry-standard practices.

Outcome:
A fully functional malware detection system that enhances endpoint security. Learners gain expertise in malware detection, threat analysis, and incident response, essential for roles like Cyber Security Analyst or Incident Response Specialist.

Skills: Web Security, OWASP Top 10, SQL Injection, XSS, Python Requests, Burp Suite
Tools: Burp Suite, OWASP ZAP, Python, Requests Library, Chrome DevTools

Description:
Web applications are frequent targets for cyberattacks. In this project, you’ll create a Penetration Testing Toolkit that identifies and exploits common vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), broken authentication, and insecure API endpoints. You’ll use Burp Suite and Python scripts to perform automated vulnerability scans and simulate attack scenarios. The project also emphasizes understanding the OWASP Top 10 security risks, showing how attackers exploit web applications and how defenders patch them. Through this hands-on experience, learners understand real-world attack patterns, testing methodologies, and mitigation strategies.

Outcome:
A robust web application penetration testing tool that identifies and mitigates security risks, equipping learners with practical skills for careers as Penetration Testers, Security Consultants, or Ethical Hackers.