This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
1,615
Participants
145
Est. Projects
About the Event:
Null Origin is a Capture The Flag (CTF) competition designed to challenge and enhance participants' cybersecurity skills through real-world scenarios and hands-on problem-solving. Participants will face challenges across multiple domains, testing their technical expertise, analytical thinking, and creativity.
Whether you're a beginner exploring cybersecurity or an experienced hacker looking for a challenge, Null Origin provides a competitive platform to learn, compete, and grow.
Challenge Categories:
Web Security
Cryptography
Reverse Engineering
Digital Forensics
OSINT
Binary Exploitation
Miscellaneous Challenges
Event Details:
Mode: Online
Duration: 24 Hours
Team Size: 1-4 Members ( Including Team Leader )
Date: Will be revealed soon.
Eligibility:
Open to students, professionals, and cybersecurity enthusiasts from all backgrounds.
Rules:
Participants must follow ethical hacking practices.
Attacking the competition infrastructure is strictly prohibited.
Flag sharing between teams is not allowed.
Any form of unfair advantage may lead to disqualification.
Organizers' decisions will be final and binding.
Rewards:
It will be announced soon. We've got something really special for you!
For queries and support:
Official E-mail : nullorigin@cyberhx.com
Admin: samitpal.work@gmail.com
Ready to Trace the Unknown?
Join Null Origin and prove your skills where every flag tells a story and every challenge reveals a new attack surface.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.