This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
See the codeThis repository is a comprehensive collection of cybersecurity references, scripts, tools, code, labs, and training resources. It is carefully curated and maintained by Omar Santos.
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.
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.
If you wish to contribute, please read the CONTRIBUTING.md file.
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or feedback, please contact Omar Santos.
Jupyter Notebook
71.1%
Python
24.1%
Shell
2.1%
Java
1.9%
This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
See the codeThis repository is a comprehensive collection of cybersecurity references, scripts, tools, code, labs, and training resources. It is carefully curated and maintained by Omar Santos.
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.
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.
If you wish to contribute, please read the CONTRIBUTING.md file.
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or feedback, please contact Omar Santos.
Jupyter Notebook
71.1%
Python
24.1%
Shell
2.1%
Java
1.9%