Email spoofing detection platform
Why Choose This Project?
Email spoofing is one of the most common techniques used in phishing attacks, where attackers forge the sender’s email address to appear as a trusted source. Traditional spam filters often fail to detect sophisticated spoofed emails.
This project provides a web-based platform (or optional email/browser plugin) that detects spoofed emails by analyzing headers, sender policies (SPF, DKIM, DMARC), and anomalies—helping protect users and organizations from fraud, phishing, and scams.
What You Get in This Project
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A web-based application to analyze incoming emails.
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Spoof detection reports with detailed explanations.
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Risk scoring system (Safe, Suspicious, Dangerous).
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Learning mode to educate users on spoofing indicators.
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Optional integration with Gmail/Outlook using APIs.
Technology Stack
| Layer | Technology |
|---|---|
| Frontend | HTML, CSS, JavaScript, Bootstrap, React (for dashboard) |
| Backend | Node.js (Express) / Java Spring Boot / Python Flask |
| Database | MongoDB / PostgreSQL (for logs & reports) |
| Email Parsing | Python’s email library, Node mailparser, or Java Mail API |
| Security | SPF/DKIM/DMARC validation libraries |
| Auth | JWT / OAuth2 for user login |
| Optional | Browser Extension API (for Gmail/Outlook add-on) |
Key Features
| Feature | Description |
|---|---|
| User Authentication | Login system to manage email checks |
| Email Upload/Fetch | Paste raw headers or auto-fetch via IMAP/POP3 |
| Spoof Detection | Analyzes headers, validates SPF, DKIM, DMARC |
| Risk Scoring | Assigns risk score: Safe, Suspicious, Dangerous |
| Detailed Report | Shows mismatched headers, failed policies, anomalies |
| Logging & Audit Trail | Keeps history of checks for future analysis |
| Notifications | Alerts users (Email/SMS) on spoof attempts |
| Education Mode | Explains why an email was flagged |
| Admin Dashboard | Monitor detection trends and spoof attempts |
| Optional REST API | For integration with enterprise mail servers |
How Email Spoofing Detection Works
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User Submits Email
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Paste raw email headers OR fetch automatically via IMAP/POP3.
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Header & Policy Analysis
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Parses headers.
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Checks sender IP vs. SPF DNS records.
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Verifies DKIM signatures.
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Validates DMARC alignment.
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Hashing & Anomaly Check
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Compares
Fromvs.Return-Path. -
Detects abnormal sending servers or geolocation mismatches.
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Scoring & Reporting
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Assigns spoof score.
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Generates detailed breakdown:
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SPF: PASS / FAIL
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DKIM: PASS / FAIL
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DMARC: PASS / FAIL
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Result Categories
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Safe Email → All checks pass
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Suspicious Email → Partial failures
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Spoofed Email → Clear mismatch
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Security Features
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SPF/DKIM/DMARC Validation → Industry-standard checks
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TLS Enforcement → Detects if emails traveled via insecure routes
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Audit Logs → Immutable detection records
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User Access Control → Role-based (User/Admin)
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Threat Intelligence Integration → Links with phishing domain/IP databases