Medium Web & API Security +400 XP

Mythos Leak - Headless CMS Draft Exposure

Based on a true incident. March 2026: two researchers found a major AI lab quietly leaking an unreleased frontier model. Step into their shoes, reproduce the find, then push it one step further than the public report ever did. Same platform, same misconfiguration, same API shapes, down to the error responses you would see if you probed the real service today.

33% solve it 244 hackers played 2 flags Updated Oct 12, 2026 First blood Malekith
Web ExploitationHeadless CMSAPI EnumerationInformation DisclosureRevision HistoryToken Abuse
Start Your Challenge

Launch your dedicated machine to begin hacking

  1. 1Create a free account, then click "Start Lab"You'll get your own private machine with an IP address
  2. 2Explore the targetOpen the IP in your browser and look for vulnerabilities
  3. 3Find and submit flagsFlags are secret text strings hidden in the system - paste them below to score
  • ~1-2 min setup
  • Private instance
  • 30 min per session. Restart it for free, as often as you like.

The real Mythos leak, March 2026

In March 2026, Fortune reported that a major AI lab had accidentally exposed thousands of unpublished assets through its headless CMS. Among them was a draft post announcing an unreleased frontier model. Two security researchers, Roy Paz of LayerX and Alexandre Pauwels of the University of Cambridge, found it. The whole incident came down to one configuration mistake on a real-world platform that powers a lot of marketing sites you have visited.

You are the researcher

This lab drops you into the same starting position Roy and Alexandre had: a marketing page, a hunch, and a single curl session. You bring the curiosity. The lab brings a faithful reproduction of the same misconfiguration, on the same platform, with the same API shapes - down to the error responses you would see if you probed the real service today.

Going further than the public report

The first stage of this lab is a faithful replay of the incident. The second stage pushes past it: there is something the team thought they had locked away, and the same misconfiguration that exposed the draft also makes it reachable if you look in the right place. Practicing the full chain hands-on is the fastest way to build the instinct for spotting the same pattern on a real engagement.

What You Will Learn

  • Fingerprint a third-party CMS from front-end clues
  • Enumerate exposed content via a misconfigured public API
  • Recover information that was deleted but not actually gone
  • Chain anonymous access into authenticated access across trust boundaries
  • Recognize default-public misconfigurations in modern headless CMS platforms

Prerequisites

HTTP basics curl command line JSON response reading basic API enumeration