问答社区
分析和在1000个社交媒体网站上查找个人资料的API、CLI和Web应用程序
分类：技术分享
社交分析器（Social Analyzer）——一个集API、命令行工具和Web应用于一体的多平台分析工具，可帮助您跨越1000+社交媒体网站查找并分析个人资料。该工具包含多种分析和检测模块，您能在调查过程中自由选择需要启用的功能模块
这款OSINT工具的分析结果及公开提取的信息，可协助调查涉及网络欺凌、网络诱骗、网络跟踪以及传播虚假信息等可疑或恶意活动的用户资料。
使用户能够创建和分享内容或参与社交网络的网站和应用程序 - 牛津词典
Structure结构
Features功能特性
- String & name analysis (Permutations and Combinations)
字符串与名称分析（排列组合） - Find a profile using multiple techniques (HTTPS library & Webdriver)
通过多种技术（HTTPS库和Webdriver）查找个人资料 - Multi profile search (Used for correlation - any combination separated with "," )
Multi profile search（用于相关性分析 - 任何组合用“,”分隔） - Multilayers detections (OCR, normal, advanced & special)
多层检测（OCR、常规、高级及特殊） - Visualized profile information using Ixora (Metadata & Patterns)
使用Ixora（元数据与模式）实现可视化档案信息 - Metadata & Patterns extraction (Added from Qeeqbox OSINT project)
元数据与模式提取（源自Qeeqbox OSINT项目） - Force-directed Graph for Metadata (Needs ExtractPatterns)
面向元数据的力导向图（需ExtractPatterns） - Search by top ranking or by country (Alexa Ranking)
按最高排名或按国家/地区搜索（Alexa 排名） - Search by type (adult, music, etc.. - automated websites stats)
按类型搜索（成人、音乐等... - 自动化网站统计） - Profiles stats and static info (Category country)
个人资料统计与静态信息（国家类别） - Cross Metadata stats (Added from Qeeqbox OSINT project)
跨元数据统计（源自Qeeqbox OSINT项目） - Auto-flirtation to unnecessary output (Enable javascript etc..)
自动调情至不必要输出（启用JavaScript等...） - Search engine lookup (Google API - optional)
搜索引擎查询（Google API - 可选） - Custom search queries (Google API & DuckDuckGo API - optional)
自定义搜索查询（Google API 和 DuckDuckGo API - 可选） - Profile screenshot, title, info, and website description
个人资料截图、标题、信息及网站描述 - Find name origins, name similarity & common words by language
按语言查找名称起源、名称相似性及常见词汇 - Find possible profile\person age (Limited analysis)
查找可能的个人资料/年龄（有限分析） - Custom user-agent, proxy, timeout & implicit wait
自定义用户代理、proxy、超时及隐式等待 - Python CLI & NodeJS CLI (limited to FindUserProfilesFast option)
Python CLI & NodeJS CLI（仅限FindUserProfilesFast选项） - Screenshots of detected profile (The latest version of Chrome must be installed)
检测到的配置文件截图（必须安装最新版本的Chrome） - Grid option for faster checking (limited to docker-compose)
网格选项，用于更快检查（仅限于 docker-compose） - Dump logs to folder or terminal (prettified)
将日志转储到文件夹或终端（美化输出） - Adjust finding\getting profile workers (default 15)
调整查找/获取配置文件工作线程数（默认为15） - Re-checking option for failed profiles
对失败配置文件的重新检查选项 - Filter profiles by good, maybe, and bad
按 good、maybe 和 bad 筛选配置文件 - Save the analysis as a JSON file
将分析存档为 JSON 文件 - Simplified web interface and CLI
简化的 Web 界面和 CLI -
Special Detections特殊检测
- Facebook (Phone number, name, or profile name)
Facebook（电话号码、姓名或资料名称） - Gmail (example@gmail.com)
[Gmail] (example@gmail.com) - Google (example@example.com)
谷歌（example@example.com)
Install & Run安装与运行
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..
- check this wiki for all possible installation methods
看看这个维基适用于所有可能的安装方式 - check this wiki for integrating social-analyzer with your OSINT tools, feeds, etc...
看看这个wiki用于将 social-analyzer 与您的 OSINT 工具、数据源等集成...
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 - Facebook (Phone number, name, or profile name)
