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h4cker — Curated collection of cybersecurity resources, labs, and training materials covering ethical hacking, penetration testing, exploit development, reverse engineering, DFIR, and AI security. | Kitploit
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GitHubthe-art-of-hacking/h4cker

h4cker

Curated collection of cybersecurity resources, labs, and training materials covering ethical hacking, penetration testing, exploit development, reverse engineering, DFIR, and AI security.

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This repository is a comprehensive collection of cybersecurity references, scripts, tools, code, labs, and training resources. It is carefully curated and maintained by Omar Santos.

Overview

The repository serves as supplemental material for books, video courses, and live training created by Omar Santos. It includes resources for offensive security, defensive security, cloud and container security, application security, AI security, certifications, labs, and reference material.

Directory Overview

  • Cybersecurity Domains: cybersecurity-domains contains the main domain taxonomy, including fundamentals, offensive security, defensive security, application security, cloud and container security, infrastructure and network security, cryptography and PKI, hardware and embedded security, governance/risk/compliance, and labs/practice.
  • AI: ai contains AI security, LLM engineering, AI-assisted incident response and automation, and AI ethics/privacy/governance resources.
  • Certifications: certifications contains certification roadmaps, Cisco SCOR, cloud certifications, Kubernetes/CNCF certifications, CompTIA, ISC2, offensive security certification references, and supplemental exam topics.
  • Build Your Own Lab: build-your-own-lab remains a root-level section for lab-building and cyber range resources.
  • Training Reference: training-reference contains cheat sheets, O'Reilly resources, curated people/projects to follow, and organized tool indexes.

How to Use

Start with the domain landing page that matches your goal, then follow the links to tools, labs, scripts, and references. Certification resources are grouped separately so exam preparation material is easy to find without mixing it into the broader domain taxonomy.

Contributing

If you wish to contribute, please read the CONTRIBUTING.md file.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any inquiries or feedback, please contact Omar Santos.

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