SocialPath emerges as a cutting-edge tool designed for security researchers and digital forensics experts.

It enables the tracking and analysis of users across various social media platforms while also offering unique capabilities for deanonymizing darknet users.

With support for multiple services and robust technical requirements, SocialPath provides a detailed, user-centric view of digital footprints.

Track users across social media platforms

Deanonymizing darknet users by username reuse

Research no. 2 in progress

Supported services:

  • Facebook
  • Twitter + details
  • Stackoverflow + details
  • Instagram + details
  • Reddit + details
  • Steam
  • Pinterest
  • Tumblr
  • Pastebin
  • Github

Requirements:

  • Django
  • Tweepy
  • PRAW
  • Celery
  • Redis

Install

  • Paste your API keys into backend/keys.json Remember to escape double quotes (“) in instagram cookie with \ in json
  • Install and run redis
apt-get install redis-server
redis-server
  • Clone repo
https://github.com/woj-ciech/SocialPath
  • Install requirements
pip3 install -r requirements.txt
  • Migrate database (run it in main directory)
python3 manage.py makemigrations social
python3 manage.py migrate social
python3 manage.py migrate
python3 manage.py runserver
  • Fire up celery (run it in main directory)
celery worker -A socialpath --loglevel=debug

For celery 5.x
celery --app socialpath worker

After that SocialPath will be accessible at localhost:8000/search

Directory is created for each user with csv inside under /static/, for visualizations.

For more information click here.

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