Ultimate Hacking Challenge- Train On Dedicated Machines To Master The Art Of Hacking -hacking The Planet- [2021] -

Introducing "Hacking the Planet" - Ultimate Hacking Challenge

goal

Do you have a specific , like passing a certification or getting a job in pentesting?

You cannot train for the Super Bowl on a backyard lawn. You need dedicated machines designed by sadistic geniuses. Here are the proving grounds where you will begin Hacking The Planet : Dedicated Machines : Get access to a fleet

Certification and Badges

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  1. Dedicated Machines: Get access to a fleet of dedicated machines, each with its own unique configuration and challenges. Practice your hacking techniques without worrying about affecting your personal devices or compromising your own security.
  2. Real-World Scenarios: Engage with simulations that mimic real-world hacking scenarios, including network exploitation, web application attacks, and social engineering. Develop your skills in a practical and applicable way.
  3. Progressive Difficulty: Our challenges are designed to adapt to your skill level, gradually increasing in complexity as you progress. Continuously test your limits and push your abilities to the edge.
  4. Mentorship and Feedback: Receive guidance and feedback from experienced hackers and instructors. Learn from their expertise and gain insights into the latest techniques and best practices.
  5. Community Support: Join a vibrant community of like-minded individuals, collaborating and competing to solve challenges. Share knowledge, resources, and experiences with fellow hackers.
  6. Regular Updates and New Challenges: Stay up-to-date with the latest hacking techniques and trends. New challenges and simulations are added regularly, ensuring that your skills remain sharp and relevant.

Most dedicated machines hide their flag in web applications. Use gobuster , ffuf , or dirb . Discover hidden directories. Find /.git/HEAD . Locate /backup.zip . Spot the notes.txt file that says, "TODO: Remove default password." Most dedicated machines hide their flag in web applications

The Sandbox: Dedicated Machines as a Learning Environment