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Social Media Phishing Alert System
Why Choose This Project
With the rising use of social media, phishing attacks targeting users on platforms like Facebook, Twitter, Instagram, and LinkedIn have become a significant threat. Malicious links, fake login pages, and impersonation accounts can steal credentials, spread malware, or compromise personal and organizational data. This project provides a real-time alert system that monitors social media interactions and detects potential phishing attempts, helping users and organizations prevent unauthorized access, credential theft, and reputational damage.
What You Get
A web-based platform that scans social media content for malicious links, suspicious messages, and impersonation accounts. The system generates real-time alerts, provides risk scores, and logs phishing attempts. Admins or users can configure alerts for specific accounts, hashtags, or messages, and the platform integrates with email or SMS notification systems to instantly warn about threats.
Key Features
| Feature | Description |
|---|---|
| User Authentication | Secure login for admins or users to manage monitoring and alerts |
| Social Media Integration | Connects to APIs (Facebook Graph, Twitter API, Instagram API, LinkedIn API) |
| Phishing Detection | Analyze posts, messages, and links for malware, fake login pages, and suspicious patterns |
| Real-Time Alerts | Notify users instantly via email, SMS, or in-app notifications |
| Risk Scoring | Assign risk levels (Low, Medium, High, Critical) to each detected threat |
| Dashboard Visualization | Display alerts, trends, and top phishing attempts via charts and graphs |
| Logging & Audit Trail | Maintain history of all detected phishing attempts for analysis |
| Custom Monitoring Rules | Admins can define rules for keywords, links, or suspicious accounts |
| Optional API | Integrate phishing detection results with corporate SOC or security tools |
Technology Stack
| Layer | Technology |
|---|---|
| Frontend Layer | HTML, CSS, JavaScript, Bootstrap for responsive UI |
| Backend Layer | Node.js (Express) / Python Flask / Java Spring Boot |
| Database Layer | MongoDB / MySQL / PostgreSQL for storing alerts, logs, and configurations |
| Social Media APIs | Facebook Graph API, Twitter API, Instagram API, LinkedIn API |
| Security Layer | HTTPS, JWT / OAuth2 for authentication and role-based access |
| Optional Libraries & APIs | URL scanning libraries, machine learning models for phishing detection, email/SMS APIs for alerts |
Working Flow
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User Login – Secure authentication for admins or users.
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Platform Integration – Connect platform to social media APIs using authorized credentials.
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Monitoring – System continuously scans posts, messages, and links for malicious patterns, phishing domains, and suspicious behavior.
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Detection & Risk Scoring – Detected threats are analyzed and assigned a risk level.
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Real-Time Alerts – Notify users/admins via email, SMS, or dashboard notifications.
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Logging & Dashboard – Store all detected attempts with timestamps, accounts involved, and risk scores. Visualize trends through graphs and charts.
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Admin Actions – Admins can block suspicious accounts, report phishing URLs, or configure custom monitoring rules.
Main Modules
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Authentication Module → Secure user/admin login
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Social Media Integration Module → Connects and fetches data from APIs
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Phishing Detection Engine → Analyze links, messages, and posts for malicious activity
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Alert & Notification Module → Send real-time alerts via email/SMS/dashboard
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Risk Assessment Module → Assign threat levels to phishing attempts
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Dashboard Module → Visual summary of alerts, trends, and user activity
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Logging Module → Maintain audit trail for all detected phishing attempts
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API Module → Optional integration with external security systems or SOC tools
Security Features
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HTTPS-secured portal and API endpoints
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JWT/OAuth2 authentication for secure access
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Role-based access control for sensitive monitoring and alert settings
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Encrypted storage of sensitive credentials and logs
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Real-time notifications for instant threat response
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Audit logs for compliance and forensic analysis