Dark web credential leak notifier
Why Choose This Project
Data breaches and credential leaks on the dark web pose a major threat to individuals and organizations. Leaked usernames, emails, and passwords can be exploited for account takeover, fraud, or phishing attacks. Manual monitoring is impractical due to the vastness of the dark web. This project automates the detection of leaked credentials, notifying users or administrators in real-time to take immediate preventive measures.
What You Get
A web-based platform that continuously monitors dark web sources, paste sites, forums, and breach databases for leaked credentials. Users can register accounts or email addresses to monitor, receive instant alerts when a match is found, and visualize trends of leaks. The platform supports secure reporting and risk scoring, making it valuable for cybersecurity teams, IT administrators, and concerned individuals.
Key Features
| Feature | Description |
|---|---|
| User Authentication | Secure login for admins and users to manage monitored credentials |
| Credential Monitoring | Continuously scan dark web sources, paste sites, and breach feeds |
| Real-Time Alerts | Instant notifications via email, SMS, or dashboard when a credential leak is detected |
| Risk Scoring | Assess risk level based on source credibility, breach severity, and data sensitivity |
| Dashboard Visualization | View trends, frequency of leaks, affected domains, and user accounts |
| Reporting & Export | Generate PDF/CSV reports for compliance or internal tracking |
| Filter & Search | Search by email, username, domain, or breach date |
| API Integration | REST API for integration with internal security platforms or SIEM systems |
| Audit Logs | Maintain history of monitored credentials, alerts, and user actions |
Technology Stack
| Layer | Technology |
|---|---|
| Frontend Layer | HTML, CSS, JavaScript, Bootstrap for responsive UI |
| Backend Layer | Node.js (Express) / Java Spring Boot / Python Flask |
| Database Layer | MongoDB / MySQL / PostgreSQL for storing monitored credentials, alerts, and logs |
| Monitoring Layer | Dark web scraping tools, paste site API integration, breach feed parsers |
| Security Layer | HTTPS, JWT / OAuth2 authentication, role-based access |
| Optional Libraries & APIs | Email/SMS APIs (Nodemailer, Twilio), Cron jobs for scheduled scans, Chart.js/D3.js for dashboards |
Working Flow
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User Login – Users or admins securely log in to the portal.
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Credential Registration – Users register accounts, emails, or domains they want to monitor.
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Dark Web Scanning – System periodically scans dark web forums, paste sites, and breach feeds for registered credentials.
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Match Detection – Compare scanned data against registered credentials.
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Alert Generation – Send instant notifications if a credential leak is detected.
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Risk Assessment – Assign risk scores based on the type of data exposed, source credibility, and breach severity.
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Dashboard & Reporting – Visualize trends of leaks, affected accounts, and generate detailed reports.
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Audit Logging – Maintain records of detected leaks, alerts sent, and user interactions.
Main Modules
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Authentication Module → Secure login and role management
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Monitoring Module → Scan dark web sources, paste sites, and breach feeds
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Alert Module → Generate notifications via email, SMS, or dashboard alerts
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Dashboard Module → Visualize trends, affected accounts, and breach statistics
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Reporting Module → Generate detailed reports in PDF/CSV format
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API Module → Provide dark web monitoring alerts for integration with SIEM or internal platforms
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Logging Module → Maintain a full audit trail of detected leaks and user actions
Security Features
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HTTPS-secured portal and API endpoints
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JWT/OAuth2 authentication and role-based access control
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Audit logs for all alerts, monitored accounts, and user actions
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Real-time alerting for immediate awareness of compromised credentials
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Data encryption at rest and in transit for sensitive credential information