VFilter - Bad Word Interpreter

$67
Publisher VinforLab Team
File size 4.09MB
Number of files 48
Latest version 1
Latest release date 2023-04-19 08:21:13
First release date 2023-04-19 08:21:13
Supported Unity versions 2018.4.2 or higher

WebGL Demo

Discord Support


Summary


A powerful multi-threaded profanity interpreter that sanitizes profanity with any variation and ways to mock and simulate letters. The interpreter is not based on a list with several possibilities, but on efficient and procedural algorithms that detect any swearword variation through heuristic and lexical analysis in order to obtain a better performance. Just load a traditional file containing the list of bad words by language. The interpreter helps keep your game in compliance with children's privacy laws and policies.


Features

  • Configure languages
  • Get swearwords and settings remotely
  • Each swear word can be configured
  • Configurable anti false positive system
  • Multi-threaded
  • Sanitization by white list of words.
  • Preserves the integrity of the original text, censoring only the profanity.
  • Extra filters
  • Remote updating
  • Remote monitoring
  • Documentation included
  • Helps keep your game in line with children's privacy laws and policies.
  • We have a specific Discord channel for you to share bypass if you find it.

Extra Filters

  • E-mail adresses
  • URLs
  • Sanitize repeated symbols

Filtering Modes:

  • Black-list based (uses detection algorithms)
  • White-list based

Why interpreter?

The package is not based entirely on a wordlist containing thousands of possibilities, but on algorithms that are generated based on a simple wordlist. These algorithms interpret an input by doing a lexical analysis of that input in order to detect the bad word and sanitize it.


Why choose this package?

Other word filters can be easily bypassed by replacing letters with numbers, ASCII tricks or putting punctuation in the middle of the word because they are based on possibilities or simple wordlists. In this package, more complex steps (through algorithms) occur that make it difficult to bypass the protection. Furthermore, the filter strives to maintain the integrity of the text and its original characters, censoring only profanity.