social analyzer
1.0.0
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..
Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary
Standard localhost WEB APP url: http://0.0.0.0:9005/app.html
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 startsudo 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"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 --screenshotssudo 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#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)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
