2020-09-30 18:32:48 +02:00
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const similarity = require('similarity');
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const { Observer, BinaryTree } = require('../../../interfaces');
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const { FilterUtil, FilterPresets } = require('../../../../util');
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2020-09-21 20:49:49 +02:00
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const CONSTANTS = {};
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2020-09-30 18:32:48 +02:00
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module.exports = class AutoModeration extends Observer {
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2020-09-21 20:49:49 +02:00
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constructor(client) {
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super(client, {
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2020-09-30 18:32:48 +02:00
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name: 'autoModeration',
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2020-09-21 20:49:49 +02:00
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priority: 1
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});
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this.hooks = [
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['message', this.filterWords.bind(this)],
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['messageUpdate', this.filterWords.bind(this)],
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['message', this.filterLinks.bind(this)],
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['messageUpdate', this.filterLinks.bind(this)],
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['message', this.filterInvites.bind(this)],
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['messageUpdate', this.filterInvites.bind(this)],
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['message', this.filterMentions.bind(this)]
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];
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2020-09-30 18:32:48 +02:00
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this.whitelist = new BinaryTree(this.client, FilterPresets.whitelist);
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2020-09-21 20:49:49 +02:00
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}
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async filterWords(message, edited) {
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2020-09-30 18:32:48 +02:00
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const { guild, author, channel } = message;
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if (!guild || author.bot) return;
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const member = message.member || await guild.members.fetch(author.id).catch();
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const settings = await guild.settings();
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const setting = settings.wordFilter;
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const { bypass, ignore, enabled, silent, explicit, fuzzy, tokenized, whitelist, actions, presets } = setting;
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const roles = member.roles.cache.map((r) => r.id);
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if (!enabled || roles.some((r) => bypass.includes(r.id)) || ignore.includes(channel.id)) return;
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// Which message obj to work with
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const msg = edited || message;
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this.client.logger.debug(`Pre norm:\n${msg.cleanContent}`);
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const content = FilterUtil.normalize(msg.cleanContent);
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this.client.logger.debug(`Normalized\n${content}`);
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let result = { match: null, matched: false, matcher: null, preset: false };
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const words = content.toLowerCase().split(' ').filter((elem) => elem.length);
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// Remove any potential bypass characters
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const _words = words.map((word) => word.replace(/[.'*]/gu, ''));
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// 1. Filter for preset lists
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if (presets.length) {
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for (const preset of presets) {
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const text = _words.join('').replace(/\s/u, ''); //Also check for spaced out words, ex "f u c k"
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//Combine array of presets to one expression
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const regex = new RegExp(`(${FilterPresets[preset].join(')|(')})`, 'ui');
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const match = content.match(regex) || text.length === words.length ? text.match(regex) : null;
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if (!match) continue;
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this.client.logger.debug(`Message matched with "${preset}" preset list.\nMatch: ${match[0]}\nFull content: ${content}`);
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result = { match: match[0], matched: true, matcher: preset, preset: true };
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break;
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}
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}
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// 2. Filter explicit - no bypass checking (unless you count normalising the text, i.e. emoji letters => normal letters)
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if (explicit.length && !result.matched) {
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for (const word of explicit) {
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//Do it like this instead of regex so it doesn't match stuff like Scunthorpe with cunt
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if (words.some((_word) => _word === word)) {
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this.client.logger.debug(`Message matched with "${word}" in the explicit list.\nFull content: ${content}`);
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result = { match: word, matched: true, matcher: 'explicit', preset: false };
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}
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}
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}
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// 3. Filter fuzzy
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if (fuzzy.length && !result.matched) {
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const text = words.join('').replace(/\s/u, '');
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const threshold = 0.93 - 0.165 * Math.log(text.length);
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outer:
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for (const _word of fuzzy) {
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for (const word of words) {
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const sim = similarity(word, _word);
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const threshold = 0.93 - 0.165 * Math.log(word.length);
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if (sim >= threshold) {
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if (this.whitelist.find(word) || whitelist.some((w) => w === word) && sim < 1) continue;
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this.client.logger.debug(`Message matched with "${_word}" in fuzzy.\nMatched word: ${word}\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
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result = { match: word, matched: true, _matcher: _word, matcher: `fuzzy [\`${_word}\`, \`${sim}\`, \`${threshold}\`]`, preset: false };
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break outer;
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}
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}
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const sim = similarity(text, _word);
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if (sim >= threshold) {
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if (this.whitelist.find(text) || whitelist.some((w) => w === text) && sim < 1) continue;
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this.client.logger.debug(`Message matched with "${_word}" in fuzzy.\nMatched word: ${text}\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
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result = { match: text, matched: true, _matcher: _word, matcher: `fuzzy [\`${_word}\`, \`${sim}\`, \`${threshold}\`]`, preset: false };
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break;
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}
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this.client.logger.debug(`Message did not match with "${_word}" in fuzzy.\nFull content: ${content}\nSimilarity: ${sim}\nThreshold: ${threshold}`);
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}
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}
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// 4. Filter tokenized
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if (tokenized.length && !result.matched) {
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for (const word of explicit) {
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//Do it like this instead of regex so it doesn't match stuff like Scunthorpe with cunt
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if (content.toLowerCase().includes(word)) {
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this.client.logger.debug(`Message matched with "${word}" in the tokenized list.\nFull content: ${content}`);
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result = { match: word, matched: true, matcher: 'tokenized', preset: false };
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}
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}
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}
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// 5. Remove message, inline response and add a reason to msg object
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if (!result.matched) return;
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msg.filtered = result;
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await msg.delete();
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if (!silent) {
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const res = await msg.formattedRespond('W_FILTER_DELETE', { params: { user: author.id } });
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res.delete({ timeout: 10000 });
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}
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// 6. Automated actions
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2020-09-21 20:49:49 +02:00
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}
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async filterLinks(message, edited) {
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}
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async filterInvites(message, edited) {
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}
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async filterMentions(message) {
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}
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2020-09-30 18:32:48 +02:00
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};
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