CyberForge CTF

CyberForge CTF

Self-hosted CTF exercise platform for cybersecurity learning.

Description

Lazy cat OIDC login has been integrated. CyberForge CTF is a self-hosted platform for cybersecurity learning and CTF practice. With built-in exercises in Web, Linux, Network, Crypto, Forensics and other directions, users can gradually improve their skills by doing questions, submitting flags, viewing problem solutions and learning materials. This app is suitable for personal learning, home laboratories, community training, small-scale teaching and basic internal security training. ##Get started quickly 1. Open CyberForge CTF in Lazy Cat Micro Clothing. 2. Log in to the app using your lazy cat account. 3. Go to the home page `Dashboard` to check the current points, levels, rankings, number of problems solved and classification progress. 4. Click 'View Challenges' or 'Challenges' in the top navigation bar to start selecting topics. 5. Read the topic description, analyze the clues, find the flag and submit it. 6. After submitting it correctly, return to `Learn` to check the progress of the learning content and knowledge points. 7. Check the leaderboard through `Scoreboard` and check the unlocked achievements through `Achievements`. ##Recommended usage process ###Personal learning 1. View current progress from Dashboard. 2. Enter Challenges and select the difficulty level first. 3. Prioritize completing basic questions in one direction, such as Web or Crypto. 4. Enter the 'Learn' review knowledge point after completing each question. 5. Check `Achievements 'regularly and use achievements as stage goals. ###Group Training 1. The administrator first confirms that all members can log in. 2. Members start practicing in the same category or the same difficulty level. 3. Use Scoreboard to observe overall progress. 4. After training, let members enter the 'Learn' review knowledge point. 5. Administrators check user activity and completion status through `Admin`.

Screenshots
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App Information
Version
0.1.2
Package Size
105.5 KB
Image Size
267.06 MB
Updated
July 2, 2026
Source Code
Murad-Jaan
Platform Support
PC