Honeytrap for social media applications :
A social media threat detection system leveraging honeypot techniques and user behavior analysis to identify malicious activities. It features user chat analysis, post monitoring, and automated threat detection with a honeytrap system to lure attackers. Real-time monitoring of interactions identifies suspicious behaviors, focusing on protecting users from social engineering, fraud, and bots. This proactive system ensures enhanced security through automated threat mitigation.

terminal -1: cd backend && source ./bin/activate && pip install -r requirements.txt
terminal -2: cd frontend && npm install dependencies
terminal -3: cd honeytrap && npm install dependencies

terminal -1: cd backend && python -m uvicorn main:app --reload
terminal -2: cd frontend && npm start
terminal -3: cd honeytrap && npm start

1. Signup
   
2. Login
   
3. Logout
   
4. Profile
   
5. Friend requests
   
6. Posts
   
7. Comments
   
8. Like and Dislike
   
9. One-to-one chat with friends
   

1. Automated account creation
   
2. Automated post creation
   
3. Automated interaction with other Honeytrap accounts
   
4. Log interactions with Honeytrap accounts
   
5. Integration with Grooq for ai for realistic data
   

1. Analysis of interaction with Honeytrap Accounts
   
2. Time based interaction detector
   
3. Spammy content detector
   
4. Integration with Grooq for ai for sementic analysis of comments
   

1. Dashboard: Monitor activity
   
2. Create: creation of honeytraps with purpose
   
3. Logs: Logs of all honeytrap activities
   
4. Detected: List of all detected potential spam,frauds and bots with reason