🛡️ MAIL SENTINEL

Detect the Threat. Protect the Inbox.
An air-gapped, explainable email phishing triage and threat intelligence workstation engineered for Security Operations Centers (SOC), incident responders, and privacy-first enterprises.

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🌟 Executive Overview

Mail Sentinel provides immediate, explainable email phishing risk assessments by synthesizing local statistical NLP (Naive Bayes / TF-IDF) with deterministic heuristic inspection algorithms.

Designed with an Apple-inspired macOS & visionOS frosted dark design language, analysts experience a distraction-free, high-fidelity console with Apple Watch Activity Ring risk scoring, granular forensic explainability, and actionable SOC remediation playbooks.

🛡️ Why Mail Sentinel?

• 🔒 Zero Cloud Egress: 100% confidential. No email body, credentials, or attachments leave your machine.
• ⚡ Sub-Second Multi-Engine Triage: Ingests raw RFC 5322 headers, body text, or .eml files instantly.
• 🧠 Explainable Intelligence: Every risk score points to exact regex matches, header hops, and NLP token weights.
• ✨ Apple-Grade Aesthetic: Obsidian dark mode, fluid glassmorphism, responsive stationary sidebar, and built-in interactive onboarding guide.

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🚀 Live Detection Pipeline Flow

flowchart TD
    classDef input fill:#1c1c20,stroke:#0a84ff,stroke-width:2px,color:#fff;
    classDef engine fill:#1c1c20,stroke:#5e5ce6,stroke-width:2px,color:#fff;
    classDef score fill:#1c1c20,stroke:#ff9f0a,stroke-width:2px,color:#fff;
    classDef output fill:#1c1c20,stroke:#30d158,stroke-width:2px,color:#fff;

    A[📥 Ingest: Raw Headers / Body / .EML File]:::input --> B{Mail Sentinel Triage Pipeline}
    
    subgraph Six_Defense_Engines [6 Isolated Detection Layers]
        B --> E1[1. Authentication Engine: SPF / DKIM / DMARC]:::engine
        B --> E2[2. Sender Reputation: Display Spoof & Punycode]:::engine
        B --> E3[3. Lexical NLP: Urgency & Social Engineering]:::engine
        B --> E4[4. Passive URL Analyzer: Obfuscation & Raw IPs]:::engine
        B --> E5[5. Attachment Guard: Macros & Dangerous Exts]:::engine
        B --> E6[6. Local ML Classifier: TF-IDF + Naive Bayes]:::engine
    end

    E1 --> C[Deterministic Risk Synthesis Engine]:::score
    E2 --> C
    E3 --> C
    E4 --> C
    E5 --> C
    E6 --> C

    C --> D[🎯 0–100 Apple Watch Activity Ring Risk Score]:::output
    D --> F1[🚨 Verdict: Safe / Suspicious / High / Critical]:::output
    D --> F2[📋 Granular Finding Cards & Evidence Exporters]:::output
    D --> F3[🛡️ Actionable SOC Remediation Playbook]:::output

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💻 Live Animated SOC Terminal Demonstration

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🎨 Apple-Inspired Design System

Mail Sentinel incorporates the best elements of Apple's modern Human Interface Guidelines:

• Deep Obsidian Surfaces: #000000 base with multi-layered frosted glass (backdrop-filter: blur(28px) saturate(190%)).
• Specular Edge Highlights: Hairline top reflection (inset 0 1px 0 rgba(255, 255, 255, 0.1)) matching macOS Tahoe and visionOS window materials.
• Apple Watch Activity Ring Gauge: Dynamic circular radial progress visualization with color-graded status verdicts.
• Stationary Pinned Sidebar: Desktop-grade fixed navigation that remains 100% stationary during page scrolling.
• Interactive Startup Onboarding Guide: Integrated macOS modal dialog with a 4-step tour, feature directory, and pro tips.

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📸 Application Interface & Forensic Workstation

Explore the Mail Sentinel interface, engineered to Apple Human Interface Guidelines with dark frosted glassmorphism. Click any screen to view in full Retina resolution.

🖥️ SOC Operations Command (/)	🔍 Email Security Scanner (/scan)
Real-time incident ingestion telemetry, threat score trajectory, and 6-engine status gauges.	Dual-mode ingestion supporting raw RFC 5322 headers and .eml drag-and-drop.
🎯 Forensic Threat Dossier (/results/:id)	🌐 Threat Intelligence Workstation (/threat-intelligence)
Apple Watch Activity Ring risk scoring (85/100 Critical), regex evidence, and SOC playbook.	Real-time IOC lookup console with multi-feed OSINT integrations and passive scoring.
📜 Scan History & Incident Log (/history)	📊 Security Reports & Analytics (/reports)
Searchable chronological audit log with multi-severity filter pills.	Executive posture analytics, attack vector distribution breakdown, and exports.
⚙️ Platform Configuration (/settings)	💡 Interactive Onboarding Tour (Modal)
Tunable ML model influence sliders, threshold definitions, and privacy switches.	Integrated macOS modal dialog welcoming analysts with a 4-step interactive walkthrough.

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🧩 Platform Features & Capabilities

1. Email Security Scanner (/scan)

• Dual Ingestion: Paste raw email headers/body text, or drag-and-drop .eml files.
• Pre-Loaded Threat Scenarios: One-click testing with realistic phishing templates:
  • 🚨 VIP Impersonation / CEO Wire Fraud (Display name spoofing, high urgency)
  • 🎣 Credential Harvester (Urgent password expiration lure with obfuscated IP link)
  • 📎 Malicious Invoice (Macro attachment signature with fake billing details)
  • 🛡️ Legitimate Security Bulletin (Clean, passing SPF/DKIM authentication)

2. Threat Assessment Dossier (/results/:id)

• Activity Ring Verdict: 0–100 risk score categorized into SAFE (0–29), SUSPICIOUS (30–59), HIGH (60–79), and CRITICAL (80–100).
• Explainable Findings: Expandable iOS-style cards detailing exact score contributions (+25 Risk), trigger descriptions, and raw evidence.
• Evidence Clipboard: Instant one-click copy button for regex strings, header proof, and forensic logs.
• SOC Remediation Playbook: Prescriptive next steps for incident response teams (e.g. sender blacklisting, session revocation, message purging).

3. Security Operations Dashboard (/)

• Live Stat Cards: Total scans, phishing detected, safe emails, and average risk indices.
• Severity Donut Breakdown: Activity Ring color distribution of incident severities.
• Score Trajectory & Volume Chart: Recharts area visualization toggleable between score timeline and incident volume.
• Engine Telemetry Cards: 6 real-time status gauges monitoring detector health and relative weights.

4. Live Threat Intelligence (/threat-intelligence)

• Interactive IOC Lookup: Investigate URLs, domain names, and IPv4 addresses.
• Multi-Feed Providers: Status indicators for VirusTotal, AbuseIPDB, URLScan.io, and AlienVault OTX.
• Offline Heuristic Fallback: Evaluates suspicious top-level domains and patterns autonomously without external API keys.

5. Scan History & Incident Log (/history)

• Searchable Audit Trail: Filter past scans by subject, sender, or scan ID.
• Severity Filter Pills: Segmented filtering (ALL, CRITICAL, HIGH, MEDIUM, LOW).
• Persistence Controls: SQLite and PostgreSQL backends with deletion and re-examination controls.

6. Reports & Security Analytics (/reports)

• Executive Posture: Phishing catch rate, safe ratio, and dominant attack vectors.
• One-Click Export: Download formal JSON and CSV audit summaries for SIEM or compliance archives.

7. Platform Configuration (/settings)

• macOS System Settings Aesthetic: Smooth toggles and numerical threshold adjustments.
• Tunable Engine Weights: Customize ML multiplier (default 25%) vs deterministic heuristic checks.

8. Interactive User Guide & Tour (HowToUseModal)

• Startup Guide: Pops up on first visit with step-by-step guidance.
• Permanent Access: Re-open anytime via the "How to Use" pill in the Navbar or Sidebar.

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🔬 Machine Learning Performance

Mail Sentinel incorporates a locally trained statistical NLP pipeline (TF-IDF vectorizer + Multinomial Naive Bayes / Logistic Regression) trained on balanced, real-world email corpora:

Metric	Score	Industry Benchmark
Accuracy	98.28%	> 95.0%
Phishing Recall	100.00%	> 97.0%
Precision	96.67%	> 94.0%
F1-Score	98.31%	> 95.5%
Cloud Egress	0.00% (Air-Gapped)	N/A
Inference Latency	< 15ms	< 200ms

To retrain or re-evaluate the local model artifacts:

cd backend
python ml/train.py
python ml/evaluate.py

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⚡ Quick Start

Prerequisites

• Python: 3.11 or higher
• Node.js: 18 or higher (with npm)
• Git

1. One-Click Launch (Windows)

Double-click run.bat or execute in PowerShell:

run.bat

This automatically verifies Python virtual environment dependencies, checks Node modules, and boots both the FastAPI backend (http://127.0.0.1:8000) and Vite frontend (http://localhost:5173).

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2. Manual Installation

Backend Setup

cd backend
python -m venv venv

# Windows:
.\venv\Scripts\Activate.ps1
# Linux/macOS:
source venv/bin/activate

pip install -r requirements.txt
python -m uvicorn app.main:app --host 127.0.0.1 --port 8000 --reload

Frontend Setup

cd frontend
npm install
npm run dev

The web console will be accessible at http://localhost:5173.
FastAPI Swagger documentation is live at http://127.0.0.1:8000/docs.

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🧪 Automated Testing

Backend Unit & Integration Tests (Pytest)

cd backend
python -m pytest

Executes 26 comprehensive automated tests validating RFC 5322 parsing, URL lexical heuristics, ML tokenization, spoof detection, and API endpoints.

Frontend Production Build Verification

cd frontend
npm run build

Validates full TypeScript type-checking and compiles optimized static assets with zero errors.

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📁 Repository Structure

Mail Sentinel/
├── logo.png                     # Official Mail Sentinel Logo
├── run.bat                      # One-click Windows launch script
├── backend/
│   ├── app/
│   │   ├── api/routes/          # Scans, Health, Statistics, Threat Intel
│   │   ├── core/                # Configuration and Security constants
│   │   ├── db/                  # SQLite / PostgreSQL engine & session
│   │   ├── models/              # Scan, Finding, URL, Attachment ORM entities
│   │   ├── schemas/             # Pydantic validation schemas
│   │   └── services/            # 6 Detection Analyzers & Risk Engine
│   ├── ml/
│   │   ├── artifacts/           # Serialized tfidf.joblib & model artifacts
│   │   ├── train.py             # NLP model training pipeline
│   │   └── evaluate.py          # Metrics & confusion matrix evaluator
│   ├── tests/                   # 26 Pytest automated test suites
│   └── requirements.txt
├── docs/
│   ├── screenshots/             # 8 High-resolution retina UI captures
│   │   ├── 01_soc_dashboard.png
│   │   ├── 02_security_scanner.png
│   │   ├── 03_threat_dossier.png
│   │   ├── 04_threat_intelligence.png
│   │   ├── 05_incident_history.png
│   │   ├── 06_security_reports.png
│   │   ├── 07_platform_settings.png
│   │   └── 08_onboarding_guide.png
│   ├── pipeline_animation.svg   # Live animated detection pipeline
│   ├── terminal_demo.svg        # Live animated terminal scan execution
│   └── radar_animation.svg      # Live animated threat radar & Activity Ring
├── frontend/
│   ├── public/
│   │   └── logo.png             # Web application logo & favicon
│   ├── src/
│   │   ├── components/          # Apple-inspired SOC UI components
│   │   │   ├── HowToUseModal.tsx# Interactive Onboarding & User Guide
│   │   │   ├── Sidebar.tsx      # Stationary pinned navigation
│   │   │   ├── Navbar.tsx       # Floating frosted header & live clock
│   │   │   ├── RiskScore.tsx    # Apple Watch Activity Ring gauge
│   │   │   └── ...
│   │   ├── pages/               # Dashboard, Scanner, Dossier, Intel, History, etc.
│   │   ├── services/            # Axios API communication
│   │   ├── types/               # TypeScript definitions
│   │   └── index.css            # Obsidian frosted glassmorphism tokens
│   └── package.json
└── README.md

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🔒 Zero-Egress Security Guarantee

1. Untrusted Input Handling: All pasted emails and uploaded .eml files are parsed within memory using strict lexical sanitizers.
2. Zero Attachment Execution: Attachments are audited strictly at the binary header and extension signature level; no executable or script is ever run.
3. Passive URL Inspection: URLs are analyzed for heuristic anomalies (punycode, IP hosts, suspicious tokens) without automated network crawling.
4. Data Minimization: Raw email bodies are discarded after scoring; only security telemetry metrics are stored.

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📄 License

Distributed under the MIT License. See LICENSE for full details.

Mail Sentinel • Detect the Threat. Protect the Inbox.