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Ethical Hacking

Chapters

1Introduction to Ethical Hacking and AI-Driven Threats

2Footprinting and Reconnaissance

Footprinting Goals and Scope Control OSINT Methodologies and Frameworks Advanced Search Operators and Google Dorking People Search and Public Records Social Media and Corporate Presence Mapping Whois and RDAP Enumeration DNS Records and Subdomain Discovery BGP, ASN, and Netblock Reconnaissance Email Harvesting and Validation Metadata Extraction and Document Mining Breach Data Correlation and Exposure Analysis Internet Research Services and Dark Web Context Social Engineering Pretexting for Recon Footprinting Tools Overview Automating OSINT with Python and APIs

3Network Scanning and Evasion Techniques

4Enumeration of Hybrid Environments

5Vulnerability Analysis and DevSecOps Integration

6System Hacking: Access and Privilege Escalation

7System Hacking: Covert Operations and Persistence

8Web Application Hacking and API Security

9Malware Threats and Sandbox Evasion

10Sniffing and Encrypted Traffic Analysis

11Social Engineering and Deepfake Manipulation

12Denial of Service and Botnet Orchestration

13Cloud Infrastructure and Container Security

14IoT and OT (Operational Technology) Hacking

15Threat Modeling, Risk, Incident Response, and Reporting with AI

Courses/Ethical Hacking/Footprinting and Reconnaissance

Footprinting and Reconnaissance

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Plan and conduct lawful OSINT using search engines, social networks, registries, and automated collection at scale.

Content

10 of 15

Metadata Extraction and Document Mining

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