🛡️ Protocol - Fake & Scam Email Analyzer (Source Code)

Protocol is a single file, client-side email security tool that analyzes full email content (headers + body) to detect scam, phishing, and fake HR communications using deterministic heuristics. Users paste the entire email from Gmail and receive a clear, explainable risk verdict - all processed locally in the browser. No uploads, No accounts, No tracking.

🌐 Live Demo

👉 https://fake-email-checker.vercel.app

🧪 What It Does

Protocol inspects email content for high-risk behavioral and technical signatures commonly found in scam and fake job/internship emails.

✅ Core Features

• Full Email Analysis: Scans complete email text (sender, subject, body).
• Heuristic Engine: Detects urgency pressure, payment requests, off-platform contact attempts, and generic salutations.
• Domain Validation: Flags public email providers posing as corporate HR.
• Protocol Checks: Identifies insecure HTTP links.
• Risk Verdicts: VERIFIED, WARNING, or CRITICAL classifications.
• Explainable Findings: Clear breakdown of every detected red flag.
• Offline Ready: Works fully without an internet connection.

🧱 The Tech

• Single File: Entire app inside index.html.
• Pure Stack: Vanilla JavaScript, CSS3, HTML5.
• No Dependencies: No frameworks, APIs, or external libraries.
• Fast Deploy: Works on GitHub Pages, Vercel, Netlify, or locally.

🔒 Privacy-First

• Local Processing Only: Emails never leave the browser.
• Zero Data Storage: Nothing is logged, saved, or tracked.
• No Analytics: No cookies, no telemetry.

📦 What You Get

• Full unlocked source code
• Deterministic heuristic logic engine
• Premium dark-mode UI
• Responsive layout (desktop + mobile)
• Easy-to-extend rule system

👤 Perfect For

• Students & Job Seekers: Detect fake HR and internship scams.
• Makers: Use as a trust-building or lead-magnet tool.
• Developers: Base project for security or fraud-detection tools.
• Educators: Demonstrate real-world scam patterns.