social-analyzer README

The project's README from github.com/qeeqbox/social-analyzer. As one markdown file: README.md.

Social Analyzer - API, CLI, and Web App for analyzing & finding a person's profile across +1000 social media \ websites. It includes different analysis and detection modules, and you can choose which modules to use during the investigation process.

The detection modules utilize a rating mechanism based on different detection techniques, which produces a rate value that starts from 0 to 100 (No-Maybe-Yes). This module is intended to have fewer false positives.

The analysis and public extracted information from this OSINT tool could help investigate profiles related to suspicious or malicious activities such as cyberbullying, cyber grooming, cyberstalking, and spreading misinformation.

This project is currently used by some law enforcement agencies in countries where resources are limited - The detection database is different than the one shared here..

So·cial Me·di·a

Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary

Structure

APP (Preferred!)

Standard localhost WEB APP url: http://0.0.0.0:9005/app.html

CLI

Features

Special Detections

Install & Run

Linux (As Node WebApp)

sudo apt-get update
#Depedning on your Linux distro, you may or may not need these 2 lines
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
sudo add-apt-repository ppa:mozillateam/ppa -y
sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm
git clone https://github.com/qeeqbox/social-analyzer.git
cd social-analyzer
npm update
npm install
npm start

Linux (As Node CLI)

sudo apt-get update
#Depedning on your Linux distro, you may or may not need these 2 lines
sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
sudo add-apt-repository ppa:mozillateam/ppa -y
sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm
git clone https://github.com/qeeqbox/social-analyzer.git
cd social-analyzer
npm install
nodejs app.js --username "johndoe"
#or
nodejs app.js --username "johndoe,janedoe" --metadata
#or
nodejs app.js --username "johndoe,janedoe" --metadata --top 100
#or
nodejs app.js --username "johndoe" --type "adult"

Linux (As python package)

sudo apt-get update
sudo apt-get install python3 python3-pip
pip3 install social-analyzer
python3 -m social-analyzer --username "johndoe"
#or
python3 -m social-analyzer --username "johndoe" --metadata
#or
python3 -m social-analyzer --username "johndoe" --metadata --top 100
#or
python3 -m social-analyzer --username "johndoe" --type "adult"
#or
python3 -m social-analyzer --username "johndoe" --websites "car" --logs --screenshots

Linux (As python script)

sudo apt-get update
sudo apt-get install git python3 python3-pip
git clone https://github.com/qeeqbox/social-analyzer
cd social-analyzer
pip3 install -r requirements.txt
python3 app.py --username "janedoe"
#or
python3 app.py --username "johndoe" --metadata
#or
python3 app.py --username "johndoe" --metadata --top 100
#or
python3 app.py --username "johndoe" --type "adult"
#or
python3 app.py --username "johndoe" --websites "car" --logs --screenshots

Importing as object (python)


#E.g. #1
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe",silent=True)
print(results)

#E.g. #2
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe,janedoe",silent=True,output="json",filter="good",metadata=False,timeout=10, profiles="detected")
print(results)

Linux, Windows, MacOS, Raspberry pi..

social-analyzer --h

Required Arguments:
  --username   E.g. johndoe, john_doe or johndoe9999

Optional Arguments:
  --websites    A website or websites separated by space E.g. youtube, tiktokor tumblr
  --mode        Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial
  --output      Show the output in the following format: json -> json outputfor integration or pretty -> prettify the output
  --options     Show the following when a profile is found: link, rate, titleor text
  --method      find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get
  --filter      Filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all
  --profiles    Filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all
  --countries   select websites by country or countries separated by space as: us br ru
  --type        Select websites by type (Adult, Music etc)
  --top         select top websites as 10, 50 etc...[--websites is not needed]
  --extract     Extract profiles, urls & patterns if possible
  --metadata    Extract metadata if possible (pypi QeeqBox OSINT)
  --trim        Trim long strings
  --gui         Reserved for a gui (Not implemented)
  --cli         Reserved for a cli (Not needed)

Listing websites & detections:
  --list        List all available websites

Setting:
  --headers     Headers as dict
  --logs_dir    Change logs directory
  --timeout     Change timeout between each request
  --silent      Disable output to screen

Open Shell

Open in Cloud Shell Open in repl.it Shell

Resources

Disclaimer\Notes

Other Projects

social-analyzer (qeeqbox/social-analyzer)

Searching Database…

这是什么?Social-Analyzer 是一款 OSINT 工具,可以在约 1000 个社交媒体网站和网页上搜索并关联某个人的个人资料,提供命令行、API 和网页应用三种使用方式。
这是命令行工具、API,还是网页应用?三者都是:它有带图形界面的 Node.js 网页应用,有 Node 或 Python 命令行工具,也可以作为 Python 对象导入,或通过其 API 调用。
我该怎么把它跑起来?可以用 `node app.js --gui` 运行 Node.js 网页应用,使用 Node 或 Python 命令行工具,把它安装为 Python 包或脚本,或者用 Docker Compose 启动速度更快的 'Grid' 模式。
我需要先安装 Node、Python 或 Chrome 吗?需要。根据你使用的命令行工具,需要安装 Node.js(>=20.18.1)和/或 Python;如果想获取个人资料截图,还需要最新版 Chrome 浏览器和 webdriver(geckodriver)。
有哪些需要注意的重大限制吗?项目明确说明,对资料和人物年龄的检测属于有限的分析;一些特殊检测模块(名称以 -private 结尾的模块)需要直接联系作者,而不能通过在 GitHub 上提交 issue 获取。
它支持哪些操作系统?官方支持 Linux、Windows、macOS 和 Raspberry Pi,项目 wiki 中记录了多种安装方式。
把它作为公共服务对外开放安全吗?不安全。作者明确提醒,它没有访问控制,只适合在本地运行,不应作为在线服务对外托管。
要让它正常工作,我需要 Google API 密钥吗?不需要。Google/DuckDuckGo 搜索查询和自定义搜索是可选的扩展功能,用于更广泛的发现;核心的个人资料查找功能无需任何 API 密钥即可使用。
我能同时用多个用户名搜索一个人吗?可以。你可以输入多个用逗号分隔的用户名或姓名,工具会使用多资料搜索,把这些结果关联起来。
元数据图和 OCR 有什么作用?它会把提取的元数据和模式(移植自 QeeqBox OSINT 项目)以力导向图的形式可视化,并运行 OCR,以及常规和高级检测层,用来确认资料是否匹配。
Creator
qeeqbox
Size
61.3 MB
Stars
24.3K
Updated
CommitJan 12
Age
5y
Commits · 90 Days