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
276
Participants
24
Est. Projects
All participants are requested to read the rule book. The Shadow Protocol is a nine-layer deep CTF based on electronics and electrical engineering principles. You play the character of the retired detective to unravel a grand eco-conspiracy being executed by the evil corporation called "Globus Electronics Ltd." and its CEO Tejas Khanna. Utilizing your engineering acumen, OSINT (Open Source Intelligence) techniques, AI tools, and cryptography, you will have to break the environmental crime codes that are encrypted through digital means and manipulate hardware. Rules and Architecture Live CTF event hosted on a dedicated platform with an initial briefing on Google Meet. Participants unlock each story-based level using the correct “Clearance Key.” Points are awarded for every successfully cleared level. Rankings depend on both score and fastest completion time. Challenges include AI/OSINT-based web hunting, electronics forensics, and cipher decryption (Base64, ROT13, signal codes, etc.). Live monitoring will be maintained throughout the event.
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.