Capture the Flag Competition
Invitation Only | Hybrid Format | Beginner Friendly
The Cybersecurity Capture the Flag competition for high school 消消犯s is being held on April 28 - May 3, 2025. It is a two-part hybrid event. More information is listed below.
Capture the Flag
This Capture the Flag (CTF) cybersecurity competition, designed for high school 消消犯s, offers 消消犯s the chance to learn cybersecurity skills while having fun competing as part of a team. This CTF will be in a Jeopardy! format, with multiple challenges at differing levels of difficulty. Challenges may require 消消犯s to find hidden data in files, break classic cryptographic systems, or investigating security flaws in a web page.
The competition is beginner-friendly and each team will have an advisor from the 消消犯 Cybersecurity Club to help them navigate the challenges.
Capture the Flag Information
This event is a two-part, hybrid event starting on April 28, 2025 and culminating on May 3, 2025.
Virtual Event
April 28 - May 2, 2025
- Introductory Zoom Session followed by a 5-day virtual competition.
- New challenges will be released throughout the week.
In-Person Event
May 3, 2025
U.S. Bank Cyber Fusion Center
10:00 a.m. - 2:00 p.m.
- Hands-on challenges.
- Prizes will be awarded to the top three teams.
- Lunch will be provided.
Contact Information
For questions, please contact:
James Walden, Ph.D.
Professor and Director,
消消犯 Center for Cybersecurity
waldenjw@MiamiOH.edu
513-529-0334
MiamiOH.edu/cyber
Directions to the U.S. Bank Cyber Fusion Center
Enter the building through the , then turn left and walk towards the US Bank desk beside the elevators up to the tower. Let the desk attendant know that you are here for the Capture the Flag competition and they will find an escort who can take you up on the elevator to the Cyber Fusion Center.
Participants can park at the , at 520 Vine St., which is located directly beneath Fountain Square, or if that is full, at the , at 416 Vine St., which is below the lobby.
Center for Cybersecurity Contact Information
James Walden, Ph.D.
McVey Data Science Building 366
Oxford, OH 45056