Data Leak Detector

A simple DLP (Data Loss Prevention) testing site. Upload or POST sensitive test data to verify your DLP solution blocks it correctly.

Features

• HTTP/HTTPS POST Testing: Submit sensitive data and verify DLP blocks the request
• Sample Test Data: Pre-generated fake SSN, credit card, and PII data
• Instant Feedback: See immediately if DLP blocked or allowed the transfer
• Mobile Responsive: Works on all devices

Quick Start

# Install dependencies
npm install

# Run development server
npm run dev

Open http://localhost:3000

Deploy with Docker

Docker makes it easy to deploy Data Leak Detector anywhere - locally, on the internet, or behind a VPN/ZTNA solution.

Build the Image

docker build -t dataleakdetector .

Run Locally

docker run -p 3000:3000 dataleakdetector

Open http://localhost:3000

Deploy to a Cloud Provider

Azure Container Apps

# Login and create resources
az login
az group create --name dlp-rg --location eastus
az acr create --resource-group dlp-rg --name dlpregistry --sku Basic
az acr login --name dlpregistry

# Push image
docker tag dataleakdetector dlpregistry.azurecr.io/dataleakdetector:latest
docker push dlpregistry.azurecr.io/dataleakdetector:latest

# Deploy
az containerapp up --name dataleakdetector \
  --resource-group dlp-rg \
  --image dlpregistry.azurecr.io/dataleakdetector:latest \
  --target-port 3000 \
  --ingress external

AWS (ECS/Fargate)

# Push to ECR and deploy with ECS
aws ecr create-repository --repository-name dataleakdetector
aws ecr get-login-password | docker login --username AWS --password-stdin <account>.dkr.ecr.<region>.amazonaws.com
docker tag dataleakdetector <account>.dkr.ecr.<region>.amazonaws.com/dataleakdetector:latest
docker push <account>.dkr.ecr.<region>.amazonaws.com/dataleakdetector:latest
# Then create ECS service via console or CLI

Any Docker Host

# On your target server
docker run -d -p 80:3000 --restart unless-stopped dataleakdetector

Testing Scenarios

Scenario	How to Deploy
Internet	Deploy to Azure, AWS, or any public cloud
VPN/ZTNA	Deploy to private network accessible via VPN
Local	Run on localhost for offline testing

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Deploy to Vercel

Option 1: One-Click Deploy

Option 2: CLI Deploy

# Install Vercel CLI
npm i -g vercel

# Deploy
vercel

Option 3: Git Push

1. Push this repo to GitHub
2. Import in Vercel dashboard
3. Vercel will auto-deploy on push

How It Works

1. User copies sample data from /sample-data
2. User submits data via /http-post or /https-post
3. If DLP is working: The request is blocked before reaching this server
4. If DLP failed: Server receives data and shows a warning banner

Pages

Route	Description
/	Landing page with DLP explanation
/http-post	HTTP POST test form
/https-post	HTTPS POST test form
/sample-data	Sample data index
/sample-data/namessndob	SSN test data
/sample-data/nameccnzip	Credit card test data
/sample-data/namedobemail	PII test data
/contact	Contact form

Tech Stack

• Next.js 14+ (App Router)
• TypeScript
• Vanilla CSS (dark mode)

License

MIT