The modules are as follows:
1. Introduction to Ethical Hacking: Covers the fundamentals of information security, ethical hacking concepts, and the latest AI-driven tools.
2. Footprinting and Reconnaissance: Teaches techniques for gathering information about targets using advanced tools, including AI-powered OSINT tools.
3. Scanning Networks: Focuses on network scanning methods to identify live systems, open ports, and services, incorporating AI for enhanced scanning.
4. Enumeration: Explores methods to extract detailed information from systems and networks, utilizing AI to streamline the process.
5. Vulnerability Analysis: Instructs on identifying security weaknesses in systems and networks, with AI integration for improved efficiency.
6. System Hacking: Details techniques for gaining unauthorized access to systems, maintaining access, and covering tracks, emphasizing ethical practices.
7. Malware Threats: Examines various types of malware, their propagation methods, and countermeasures, including AI-driven detection tools.
8. Sniffing: Discusses packet capturing techniques to intercept and analyze network traffic, with AI tools for enhanced analysis.
9. Social Engineering: Explores manipulation techniques to deceive individuals into divulging confidential information, and AI’s role in both attacks and defences.
10. Denial-of-Service (DoS): Covers methods to overwhelm systems, causing service disruptions, and strategies to mitigate such attacks, including AI-based solutions.
11. Session Hijacking: Focuses on techniques to take over active sessions and methods to prevent such exploits, with AI-enhanced detection mechanisms.
12. Evading IDS, Firewalls, and Honeypots: Teaches strategies to bypass security defenses and the use of AI in both evasion and detection.
13. Hacking Web Servers: Details vulnerabilities and attack methods targeting web servers, with AI tools for identifying and mitigating threats.
14. Hacking Web Applications: Focuses on exploiting web application vulnerabilities and securing them, utilizing AI for automated testing and defence.
15. SQL Injection: Explores techniques to exploit SQL vulnerabilities and methods to safeguard against such attacks, with AI-driven detection tools.
16. Hacking Wireless Networks: Discusses methods to compromise wireless networks and protective measures, including AI-enhanced monitoring tools.
17. Hacking Mobile Platforms: Examines vulnerabilities in mobile devices and applications, with AI tools for threat detection and analysis.
18. IoT and OT Hacking: Focuses on security challenges in Internet of Things (IoT) and Operational Technology (OT) environments, with AI solutions for monitoring and defence.
19. Cloud Computing: Covers cloud infrastructure vulnerabilities, attack methods, and security best practices, including AI-driven cloud security tools.
20. Cryptography: Discusses principles of encryption, cryptographic attacks, and AI’s role in cryptanalysis and securing data.
These modules provide a comprehensive understanding of ethical hacking, integrating AI technologies to enhance both offensive and defensive cybersecurity skills.