Files
social-analyzer/app.js

630 lines
21 KiB
JavaScript
Executable File

// -------------------------------------------------------------
// author Giga
// project qeeqbox/social-analyzer
// email gigaqeeq@gmail.com
// description app.py (CLI)
// licensee AGPL-3.0
// -------------------------------------------------------------
// contributors list qeeqbox/social-analyzer/graphs/contributors
// -------------------------------------------------------------
var argv = require('yargs')
.usage('Usage: $0 --cli --mode "fast" --username "johndoe" --websites "youtube tiktok"\nUsage: $0 --cli --mode "fast" --username "johndoe"')
.describe('cli', 'enable this cli')
.default("cli", false)
.boolean('cli')
.describe('username', 'E.g. johndoe, john_doe or johndoe9999')
.default("username", "")
.describe('websites', 'Website or websites separated by space E.g. youtube, tiktok or tumblr')
.default("websites", "all")
.describe('mode', 'Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial')
.default("mode", "fast")
.describe('output', 'Show the output in the following format: json -> json output for integration or pretty -> prettify the output')
.default("output", "pretty")
.describe('options', 'Show the following when a profile is found: link, rate, title or text')
.default("options", "")
.describe('list', 'List all available websites')
.default("list", false)
.boolean('list')
.describe('docker', 'allow docker')
.default("docker", false)
.boolean('docker')
.describe('method', 'find -> show detected profiles, get -> show all profiles regardless detected or not, both -> combine find & get')
.default("method", "all")
.describe('grid', 'grid option, not for CLI')
.default("grid", "")
.describe('extract', 'Extract profiles, urls & patterns if possible')
.default("extract", false)
.boolean('extract')
.describe('metadata', 'Extract metadata if possible (pypi QeeqBox OSINT)')
.default("metadata", false)
.boolean('metadata')
.describe('trim', 'Trim long strings')
.default("trim", false)
.boolean('trim')
.describe('filter', 'filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all')
.default("filter", "all")
.describe('profiles', 'filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all')
.default("profiles", "all")
.help('help')
.argv;
if (argv.output != "json") {
console.log('[!] Detections are updated very often, make sure to get the most up-to-date ones');
}
var semver = require('semver');
if (semver.satisfies(process.version, '>13 || <13')) {
if (argv.output != "json") {
console.log('[Good] NodeJS Version Check');
}
} else {
if (argv.output != "json") {
console.log('[Error] NodeJS Version Check');
}
process.exit(1);
}
var express = require("express");
var fs = require("fs");
var tokenizer = require("wink-tokenizer");
var generatorics = require("generatorics");
var HttpsProxyAgent = require('https-proxy-agent');
var PrettyError = require('pretty-error');
var pe = new PrettyError();
require('express-async-errors');
var _tokenizer = tokenizer();
if (!fs.existsSync('logs')) {
fs.mkdirSync('logs');
}
var helper = require("./modules/helper.js")
var fastScan = require("./modules/fast-scan.js")
var slowScan = require("./modules/slow-scan.js")
var specialScan = require("./modules/special-scan.js")
var externalApis = require("./modules/external-apis.js")
var stringAnalysis = require("./modules/string-analysis.js")
var nameAnalysis = require("./modules/name-analysis.js")
var visualize = require("./modules/visualize.js")
var app = express();
app.set('etag', false)
app.use(express.urlencoded({
extended: true
}));
app.use(express.json());
app.use(express.static("public"));
app.post("/get_logs", async function(req, res, next) {
var last_line = "nothinghere"
if (req.body.uuid != "") {
temp_log_file = helper.get_log_file(req.body.uuid)
var data = fs.readFileSync(temp_log_file).toString();
if (typeof data !== 'undefined' && data) {
last_line = data.split('\n').slice(-2)[0];
}
res.send(last_line)
}
})
app.get("/get_settings", async function(req, res, next) {
temp_list = [];
temp_list = await Promise.all(helper.websites_entries.map(async (site, index) => {
var temp_url = "";
if ("status" in site) {
if (site.status == "bad") {
return Promise.resolve();
}
}
if (site.detections.length > 0) {
temp_url = helper.get_site_from_url(site.url)
if (temp_url != "nothinghere") {
temp_selected = "false";
if ("selected" in site) {
if (site.selected == "true") {
temp_selected = "true";
}
}
return Promise.resolve({
"index": index,
"url": temp_url,
"selected": temp_selected
});
}
}
return Promise.resolve();
}));
temp_list = temp_list.filter(item => item !== undefined);
temp_list.sort(function(a, b) {
var keyA = a.url,
keyB = b.url;
// Compare the 2 dates
if (keyA < keyB) return -1;
if (keyA > keyB) return 1;
return 0;
});
res.json({
proxy: helper.proxy,
user_agent: helper.header_options['headers']['User-Agent'],
google: [helper.google_api_key.substring(0, 10) + "******", helper.google_api_cs.substring(0, 10) + "******"],
websites: temp_list
});
});
app.post("/save_settings", async function(req, res, next) {
await helper.websites_entries.forEach(function(value, i) {
helper.websites_entries[i].selected = "false"
});
if ("websites" in req.body) {
if (req.body.websites.length > 0) {
await req.body.websites.split(',').forEach(item => {
helper.websites_entries[Number(item)].selected = "true";
});
}
}
if (req.body.google_key != helper.google_api_key.substring(0, 10) + "******") {
helper.google_api_key = req.body.google_key;
}
if (req.body.google_cv != helper.google_api_cs.substring(0, 10) + "******") {
helper.google_api_cs = req.body.google_cv;
}
if (req.body.user_agent != helper.header_options['headers']['User-Agent']) {
helper.header_options['headers']['User-Agent'] = req.body.user_agent;
}
if (req.body.proxy != helper.proxy) {
helper.proxy = req.body.proxy;
}
if (helper.proxy != "") {
helper.header_options['agent'] = HttpsProxyAgent(helper.proxy)
} else {
if ('agent' in helper.header_options) {
delete helper.header_options['agent'];
}
}
res.json("Done");
});
app.get("/generate", async function(req, res, next) {
var list_of_combinations = []
if (req.body.option == "Generate") {
if (req.body.words != undefined && req.body.words.length > 1 && req.body.words.length < 8) {
for (var perm of generatorics.permutationCombination(req.body.words)) {
if (perm.join("") !== "") {
list_of_combinations.push(perm.join(""));
}
}
}
}
res.json({
combinations: list_of_combinations
});
});
app.post("/analyze_string", async function(req, res, next) {
var info = {
"items": [],
"original": "",
"corrected": "",
"total": 0,
"checking": "Using " + req.body.string + " with no lookups"
}
var user_info_normal = {
data: {},
type: "all"
}
var user_info_advanced = {
data: {},
type: "all"
}
var user_info_special = {
data: {},
type: "all"
}
var all_words = {
"prefix": [],
"name": [],
"number": [],
"symbol": [],
"unknown": [],
"maybe": []
}
var names_origins = []
var words_info = []
var temp_words = []
var custom_search = []
var logs = ""
var fast = false
var graph = {
"nodes": [],
"links": []
}
if (req.body.string == null || req.body.string == "") {
res.json("Error");
} else {
req.body.uuid = req.body.uuid.replace(/[^a-zA-Z0-9\-]+/g, '');
helper.log_to_file_queue(req.body.uuid, "[Setting] Log file name: " + req.body.uuid)
helper.log_to_file_queue(req.body.uuid, "[Setting] Username: " + req.body.string)
if (req.body.option.includes("FindUserProfilesFast") || req.body.option.includes("GetUserProfilesFast")) {
fast = true
helper.log_to_file_queue(req.body.uuid, "[Starting] Checking user profiles normal")
user_info_normal.data = await fastScan.find_username_normal(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Checking user profiles normal")
}
if (req.body.option.includes("FindUserProfilesSpecial")) {
if (!fast) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Checking user profiles special")
user_info_special.data = await specialScan.find_username_special(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Checking user profiles special")
} else {
helper.log_to_file_queue(req.body.uuid, "[Warning] FindUserProfilesFast with FindUserProfilesSpecial")
helper.log_to_file_queue(req.body.uuid, "[Skipping] FindUserProfilesSpecial")
}
}
if (req.body.option.includes("FindUserProfilesSlow") && fast) {
helper.log_to_file_queue(req.body.uuid, "[Warning] FindUserProfilesFast with FindUserProfilesSlow")
helper.log_to_file_queue(req.body.uuid, "[Skipping] FindUserProfilesSlow")
}
if (req.body.option.includes("ShowUserProfilesSlow") && fast) {
helper.log_to_file_queue(req.body.uuid, "[Warning] FindUserProfilesFast with ShowUserProfilesSlow")
helper.log_to_file_queue(req.body.uuid, "[Skipping] ShowUserProfilesSlow")
}
if ((req.body.option.includes("FindUserProfilesSlow") && !fast) || (req.body.option.includes("ShowUserProfilesSlow") && !fast)) {
if (!req.body.option.includes("FindUserProfilesSlow")) {
user_info_advanced.type = "show"
} else if (!req.body.option.includes("ShowUserProfilesSlow")) {
user_info_advanced.type = "noshow"
}
helper.log_to_file_queue(req.body.uuid, "[Starting] Checking user profiles advanced")
user_info_advanced.data = await slowScan.find_username_advanced(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Checking user profiles advanced")
}
if (req.body.option.includes("LookUps")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Lookup")
await externalApis.check_engines(req, info);
helper.log_to_file_queue(req.body.uuid, "[Done] Lookup")
}
if (req.body.option.includes("CustomSearch")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Custom Search")
custom_search = await externalApis.custom_search_ouputs(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Custom Search")
}
if (req.body.option.includes("FindOrigins")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Finding Origins")
names_origins = await nameAnalysis.find_origins(req);
helper.log_to_file_queue(req.body.uuid, "[Done] Finding Origins")
}
if (req.body.option.includes("SplitWordsByUpperCase")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Split by UpperCase")
await stringAnalysis.split_upper_case(req, all_words)
helper.log_to_file_queue(req.body.uuid, "[Done] Split by UpperCase")
}
if (req.body.option.includes("SplitWordsByAlphabet")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Split by Alphabet")
await stringAnalysis.split_alphabet_case(req, all_words)
helper.log_to_file_queue(req.body.uuid, "[Done] Split by Alphabet")
}
if (req.body.option.includes("FindSymbols")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Finding Symbols")
await stringAnalysis.find_symbols(req, all_words)
helper.log_to_file_queue(req.body.uuid, "[Done] Finding Symbols")
}
if (req.body.option.includes("FindNumbers")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Finding Numbers")
await stringAnalysis.find_numbers(req, all_words)
helper.log_to_file_queue(req.body.uuid, "[Done] Finding Numbers")
}
req.body.string = req.body.string.toLowerCase();
if (req.body.option.includes("ConvertNumbers")) {
helper.log_to_file_queue(req.body.uuid, "[Starting] Convert Numbers")
await stringAnalysis.convert_numbers(req, all_words)
helper.log_to_file_queue(req.body.uuid, "[Done] Convert Numbers")
}
if (req.body.option.includes("LookUps") ||
req.body.option.includes("WordInfo") ||
req.body.option.includes("MostCommon") ||
req.body.option.includes("SplitWordsByUpperCase") ||
req.body.option.includes("SplitWordsByAlphabet") ||
req.body.option.includes("FindSymbols") ||
req.body.option.includes("FindNumbers") ||
req.body.option.includes("ConvertNumbers")) {
await stringAnalysis.get_maybe_words(req, all_words)
await stringAnalysis.analyze_string(req, all_words);
Object.keys(all_words).forEach((key) => (all_words[key].length == 0) && delete all_words[key]);
if (req.body.option.includes("MostCommon")) {
await stringAnalysis.most_common(all_words, temp_words);
}
if (req.body.option.includes("WordInfo")) {
await externalApis.get_words_info(all_words, words_info);
}
} else if (req.body.option.includes("NormalAnalysis@@")) {
//var maybe_words = WordsNinja.splitSentence(req.body.string);
all_words.maybe = maybe_words.filter(function(elem, index, self) {
return index === self.indexOf(elem);
});
list_of_tokens = _tokenizer.tokenize(req.body.string);
list_of_tokens.forEach(function(item, index) {
if (item.tag in all_words) {
all_words[item.tag].push(item.token);
} else {
all_words[item.tag] = []
all_words[item.tag].push(item.token);
}
});
Object.keys(all_words).forEach((key) => (all_words[key].length == 0) && delete all_words[key]);
}
if (req.body.option.includes("NetworkGraph")) {
if ('data' in user_info_normal) {
if (user_info_normal.data.length > 0) {
if (req.body.option.includes("ExtractMetadata"))
{
helper.log_to_file_queue(req.body.uuid, "[Starting] Network Graph")
graph = await visualize.visualize_force_graph(req.body.string, user_info_normal.data, "fast")
helper.log_to_file_queue(req.body.uuid, "[Done] Network Graph")
}
else{
helper.log_to_file_queue(req.body.uuid, "[Warning] NetworkGraph needs ExtractMetadata")
}
}
}
}
try {
logs = fs.readFileSync(helper.get_log_file(req.body.uuid), 'utf8');
} catch {
}
res.json({
info,
table: all_words,
common: temp_words,
words_info: words_info,
user_info_normal: user_info_normal,
user_info_advanced: user_info_advanced,
user_info_special: user_info_special,
names_origins: names_origins,
custom_search: custom_search,
graph: graph,
logs: logs
});
}
});
app.use((err, req, res, next) => {
helper.verbose && console.log(" --- Global Error ---")
helper.verbose && console.log(pe.render(err));
res.json("Error");
});
app.use((req, res, next) => {
res.set('Cache-Control', 'no-store')
next()
})
process.on('uncaughtException', function(err) {
helper.verbose && console.log(" --- Uncaught Error ---")
helper.verbose && console.log(pe.render(err));
})
process.on('unhandledRejection', function(err) {
helper.verbose && console.log(" --- Uncaught Rejection ---")
helper.verbose && console.log(pe.render(err));
})
function delete_keys(object, temp_keys) {
temp_keys.forEach((key) => {
try {
delete object[key]
} catch (err) {}
});
return object
}
function clean_up_item(object, temp_keys_str) {
delete object['image']
if (temp_keys_str == "") {
delete object['text']
} else {
Object.keys(object).forEach((key) => {
try {
if (!temp_keys_str.includes(key)) {
delete object[key]
}
} catch (err) {}
});
}
return object
}
async function check_user_cli(argv) {
var ret = []
var random_string = Math.random().toString(36).substring(2);
var temp_options = "GetUserProfilesFast,FindUserProfilesFast"
if (argv.method != "") {
if (argv.method == "find") {
temp_options = ",FindUserProfilesFast,"
} else if (argv.method == "get") {
temp_options = ",GetUserProfilesFast,"
}
}
if (argv.extract) {
temp_options += ",ExtractPatterns,"
}
if (argv.metadata) {
temp_options += ",ExtractMetadata,"
}
var req = {
'body': {
'uuid': random_string,
'string': argv.username,
'option': temp_options + argv.output
}
}
if (argv.websites == "all") {
await helper.websites_entries.forEach(async function(value, i) {
helper.websites_entries[i].selected = "true"
});
} else {
await helper.websites_entries.forEach(async function(value, i) {
helper.websites_entries[i].selected = "false"
if (argv.websites.length > 0) {
await argv.websites.split(' ').forEach(item => {
if (helper.websites_entries[i].url.toLowerCase().includes(item.toLowerCase())) {
helper.websites_entries[i].selected = "true"
}
});
}
});
}
ret = await fastScan.find_username_normal(req)
if (typeof ret === 'undefined' || ret === undefined || ret.length == 0) {
helper.log_to_file_queue(req.body.uuid, 'User does not exist (try FindUserProfilesSlow or FindUserProfilesSpecial)');
} else {
var temp_detected = {
"detected": [],
"unknown": [],
"failed": []
}
await ret.forEach(item => {
var temp_keys = Object.assign({}, helper.profile_template);
if (item.method == "all") {
if (item.good == "true") {
item = delete_keys(item, ['method', 'good'])
item = clean_up_item(item, argv.options)
temp_detected.detected.push(item)
} else {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.unknown.push(item)
}
} else if (item.method == "find") {
if (item.good == "true") {
item = delete_keys(item, ['method', 'good'])
item = clean_up_item(item, argv.options)
temp_detected.detected.push(item)
}
} else if (item.method == "get") {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.unknown.push(item)
} else if (item.method == "failed") {
item = delete_keys(item, ['found', 'rate', 'status', 'method', 'good', 'text', 'language', 'title', 'type', 'extracted', 'metadata'])
item = clean_up_item(item, argv.options)
temp_detected.failed.push(item)
}
});
if (temp_detected.detected.length == 0) {
delete temp_detected["detected"];
} else {
if (argv.profiles.includes("all") || argv.profiles.includes("detected")) {
if (argv.filter.includes("all")) {
} else {
temp_detected["detected"] = temp_detected["detected"].filter(item => argv.filter.includes(item.status))
}
if (temp_detected.detected.length == 0) {
delete temp_detected["detected"];
}
} else {
delete temp_detected["detected"];
}
}
if (temp_detected.unknown.length == 0) {
delete temp_detected["unknown"];
} else {
if (argv.profiles.includes("all") || argv.profiles.includes("unknown")) {
} else {
delete temp_detected["unknown"];
}
}
if (temp_detected.failed.length == 0) {
delete temp_detected["failed"];
} else {
if (argv.profiles.includes("all") || argv.profiles.includes("failed")) {
} else {
delete temp_detected["failed"];
}
}
if (argv.output == "pretty" || argv.output == "") {
if ('detected' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, "[Detected] " + temp_detected.detected.length + " Profile[s]");
helper.log_to_file_queue(req.body.uuid, temp_detected.detected, true, argv);
}
if ('unknown' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, "[Unknown] " + temp_detected.unknown.length + " Profile[s]");
helper.log_to_file_queue(req.body.uuid, temp_detected.unknown, true, argv);
}
if ('failed' in temp_detected) {
helper.log_to_file_queue(req.body.uuid, "[failed] " + temp_detected.failed.length + " Profile[s]");
helper.log_to_file_queue(req.body.uuid, temp_detected.failed, true, argv);
}
}
if (argv.output == "json") {
console.log(JSON.stringify(temp_detected, null, 2))
}
}
};
async function list_all_websites() {
var temp_arr = []
await helper.websites_entries.forEach(item => {
temp_arr.push(helper.get_site_from_url(item.url))
});
console.log('[Listing] Available websites\n' + temp_arr.join('\n'))
}
var server_host = 'localhost';
var server_port = process.env.PORT || 9005;
if (argv.grid != "") {
helper.grid_url = argv.grid
}
if (argv.docker) {
server_host = '0.0.0.0'
}
if (argv.cli) {
if (argv.list) {
list_all_websites();
} else if (argv.mode == "fast") {
if (argv.username != "" && argv.websites != "") {
check_user_cli(argv)
}
}
} else {
var server = app.listen(server_port, server_host, function() {
//helper.setup_tecert()
console.log("Server started at http://%s:%s/app.html", server_host, server_port);
});
}