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Setup collector

submit.php is the source code for the setup collector. It receives a saved setup through a HTTP POST request, and if it is valid, add a line in data.txt in the same directory as the script itself, and returns an HTTP 200 code. If the setup is invalid, then an HTTP 417 code is returned.

This is fully anonymized and only triggerred when using https://mascaldotfr.github.io, unless you do the appropriate changes in the source code (submit.php and ../js/api_url.js)

The client code can be found here.

The dataset is available at: https://hail.thebus.top/CoRT/collect/data.txt

Unlike /warstatus written in python, the collector is written in PHP, because it's easier to deploy for people having a standard PHP enabled webhosting.

Deployment

  • You need a PHP capable webserver and that's it. Put submit.php in some place on your server.
  • The file is compressed to data.txt.gz at every run. This for people having static gzip compression enabled on their server (i let you google that as it's not mandatory but heavily recommended).
  • In case you get a weird/hardened setup, don't forget to ensure that the user running php is allowed to write files in the same directory than submit.php.

Data exploitation

Note that this requires accessing the trainerdata sets on this repository, because your exploitation code will require to sideload them.

Usage of multiple threads for parsing the same record will not work, but you can use them for parsing multiple records in parallel, each in their own thread/coroutine.

Format

Each record is one line long, terminated with a newline, with fields separated with spaces.

Fields:

  • 0: the trainerdata version used
  • 1: the chosen class
  • 2: the chosen level (level 61 is for the Red Necromantic Crystal)
  • 3 and later: Trees order is the same as the website. trees are read sequentially, in json order.
    • Odd indexes: skilltree level
    • Even indexes: concatenation of each skill powerpoints on 1 digit

Implementations

Python

A simple python exploit code can be found at exploit.py in this directory. It is supposedly simple enough to understand.

Javascript

A faster and leaner version of Halvdan's trainer stat page is available in this repository, see tstats.js. You can check it out at https://mascaldotfr.github.io/CoRT/tstats.html.

Halv's page is still used by default because it has stats older than CoRT and has more features, but i wanted to do an open source implementation of it.