PIIcasso — Deep Search Intelligence Platform

AI-powered PII intelligence and adversarial wordlist platform — web app, in-browser terminal, and a global CLI you can install in one line.

Install in one line

# Node / npm
npm install -g piicasso

# Python / pip
pip install piicasso

Then run piicasso to drop into an interactive terminal, or use any subcommand directly:

piicasso analyze "Email john@example.com — call 9876543210"
piicasso wordgen --profile name=John --profile dob=1998
piicasso score "Tr0ub4dor&3"
piicasso login          # connect to the hosted backend
piicasso darkweb "acme corp"
piicasso risk "acme corp"

The CLI is hybrid: PII detection, redaction, password scoring, and wordlist generation run locally with no network calls. AI-backed features (dark-web search, financial risk, history) hit the hosted API. The web app, the in-browser Terminal at /terminal, and both CLI packages share the same piiEngine so output is byte-for-byte identical across surfaces.

Full CLI docs: Piicasso/cli-node/README.md · Piicasso/cli-python/README.md

Live demo

Service	URL	Status
Frontend (Vercel)	pii-casso.vercel.app
Backend API (Render)	core-engine-woeg.onrender.com/api
In-browser Terminal	/terminal
API docs (Swagger)	/api/docs

What is PIIcasso?

PIIcasso is a full-stack Deep Search Intelligence Platform with a dual-mode architecture:

Security mode (tactical dark/red) — Red teams and pentesters generate AI-powered, profile-based wordlists with 3D threat visualization, risk radar charts, and dossier PDF exports.
User mode (midnight cobalt glass) — Individuals assess their own password strength against PII-based cracking patterns, with breach history visualization and real-time scoring.

It ships in three surfaces:

Web app — React 18 SPA on Vercel.
In-browser terminal — a mode-aware interactive shell at /terminal with the same command set as the CLI.
CLI — piicasso on npm and PyPI; local analysis + API client.

Backend is Django 5 + DRF containerized with Docker + Nginx, deployed to Render, and powered by Google Gemini for intelligent wordlist generation.

Surfaces

Web app

https://pii-casso.vercel.app

Full UI with marketing pages, registration/login, dual-mode dashboards, operation history, dark-web search, financial risk radar, team workspaces, and admin console.

In-browser terminal

https://pii-casso.vercel.app/terminal

A fully interactive shell rendered in React. Cyan prompt (user@piicasso:~$) in user mode, red prompt (sec@piicasso:~#) in security mode. Built-in commands: help, clear, mode, switch user|security, whoami, routes, goto <path>, echo, about, exit. Up/Down history, Tab autocomplete.

CLI (npm + pip)

piicasso on both registries — same command surface, same engine, same output. See CLI commands below.

CLI commands

Command	Mode	Description
`analyze [text] [-f path]`	local	Detect PII entities (EMAIL, PHONE, SSN, CARD, DOB, IP, ADDR, ZIP, NAME)
`redact [text] [-f path]`	local	Replace detected PII with `[TYPE]` placeholders
`score <password> [-p k=v ...]`	local	Crackability score (0–100) + rating + entropy + crack time
`wordgen -p k=v ... [-l N]`	local	Adversarial wordlist from a profile
`submit <file>`	API	Upload text for server-side AI analysis
`history [-l N]`	API	List recent analyses
`darkweb <query>`	API	Breach-search across configured dark-web sources
`risk <target>`	API	Financial-risk score (Gemini-backed)
`inbox`	API	List messages
`login` / `logout` / `whoami`	API	Manage credentials
`mode [user\|security]`	local	Show or set local theme
`config <action> [key] [value]`	local	Inspect / mutate `~/.piicasso/config.json`
(no args)	—	Enter the interactive REPL

All commands accept --json for machine-readable output where it makes sense.

Configuration

The CLI stores its state in ~/.piicasso/config.json:

{
  "api":     "https://core-engine-woeg.onrender.com/api/",
  "mode":    "user",
  "access":  "<JWT>",
  "refresh": "<JWT>"
}

Override the API base with the PIICASSO_API environment variable or piicasso config set api <url>.

Key features

Feature	Description
AI wordlist generation	Google Gemini LLM generates profile-based wordlists from PII inputs
PII detection engine	Pure-JS / pure-Python regex engine — same code in web, terminal, and CLI
Smart permutations	Algorithmic generation: leetspeak, date variants, common suffixes
3D threat globe	WebGL globe (`react-globe.gl`) with live user presence via cache heartbeats
Risk radar	`Chart.js` radar visualization of password vulnerability dimensions
Dossier export	PDF report generation (`reportlab`) of full intelligence output
Live password testing	Real-time strength scoring with breakdown and recommendations
Operation history	Expandable rows showing vulnerabilities and per-entry recommendations
Team management	Multi-user team workspaces with role-based access
Admin panel	Super admin role promotion/demotion with bootstrap command
Dual-mode theming	Body-class system — Security (tactical red) / User (glass morphism)
Mode-aware terminal	`/terminal` page + CLI REPL with cyan/red theming
Responsive	Mobile-first (320px+), tablet (768px+), desktop (1024px+) — 44px touch targets

Architecture

                  ┌──────────────┐
   Browser ──────▶│   Vercel     │  React 18 SPA + in-browser terminal
                  │  (Frontend)  │  Tailwind + Framer Motion
                  └──────┬───────┘
                         │
   CLI (npm/pip) ────────┼──────────▶  HTTPS / REST API
                         │
                  ┌──────▼───────┐
                  │    Nginx     │  least_conn + keepalive
                  │   (Render)   │  Reverse proxy + SSL termination
                  └──────┬───────┘
                         │
                  ┌──────▼───────┐
                  │  Gunicorn    │  2 workers × N replicas
                  │  (N pods)    │
                  └──────┬───────┘
                         │
                  ┌──────▼───────┐
                  │   Django 5   │  DRF · SimpleJWT · Google OAuth
                  │   API tier   │  Gemini AI · ReportLab · Prometheus
                  └──────┬───────┘
                  ┌──────┴───────┐
              ┌───▼───┐      ┌───▼───┐
              │  PG   │      │ Redis │  Cache + heartbeats + rate limits
              └───────┘      └───────┘

Observability: Django middleware → Prometheus → Grafana Cloud. Sentry for errors. Better Stack for uptime.

Technology stack

Backend

Technology	Version	Purpose
Django	5.x	Web framework
Django REST Framework	latest	REST API
PostgreSQL	15+	Primary database
Redis	7+	Cache, presence, rate limits
SimpleJWT	latest	JWT auth + refresh tokens
Google Gemini API	v1	AI wordlist generation
ReportLab	latest	PDF dossier export
Gunicorn	2x workers	WSGI server, 120s timeout
Prometheus	latest	Metrics middleware
Docker	24+	Containerization

Frontend

Technology	Version	Purpose
React	18	UI framework
Tailwind CSS	3.x	Utility-first styling
Framer Motion	12.x	Page + component animations
react-globe.gl	latest	3D threat globe (Three.js)
Chart.js / react-chartjs-2	latest	Radar + bar charts
Lucide React	latest	Icon library
@react-oauth/google	latest	Google SSO

CLI

Package	Stack	Install
piicasso (npm)	Node ≥18, commander, chalk, axios	`npm i -g piicasso`
piicasso (PyPI)	Python ≥3.9, click, rich, prompt_toolkit, requests	`pip install piicasso`

Quick start (local development)

Option A — Docker Compose (recommended)

git clone https://github.com/yokesh-kumar-M/Piicasso.git
cd Piicasso/Piicasso

# Configure env
cp backend/.env.example backend/.env
# Edit backend/.env (see Environment variables below)

# Start everything
docker compose up --build

# Scale web workers
docker compose up --scale web=3

Services start at:

Option B — Manual

Backend

cd Piicasso/backend
python -m venv venv
source venv/bin/activate           # Windows: venv\Scripts\activate
pip install -r requirements.txt
python manage.py migrate
python manage.py ensure_admin      # creates default admin
python manage.py runserver         # http://localhost:8000

Frontend

cd Piicasso/frontend
npm install
echo "REACT_APP_API_URL=http://localhost:8000/api/" > .env
npm start                          # http://localhost:3000

CLI (from source)

# Node
cd Piicasso/cli-node
npm install && npm link            # exposes the global `piicasso` binary

# Python
cd Piicasso/cli-python
pip install -e .                   # installs the `piicasso` entrypoint

Environment variables

Backend (`Piicasso/backend/.env`)

Variable	Required	Description
`DJANGO_SECRET_KEY`	Yes	Django secret key
`DEBUG`	Yes	`True` for dev, `False` for prod
`ENV`	Yes	`development` or `production`
`DATABASE_URL`	Yes	`postgresql://user:pass@host:5432/piicasso`
`REDIS_URL`	No	`redis://localhost:6379/0`
`GEMINI_API_KEY`	Yes	Google Gemini API key
`GOOGLE_CLIENT_ID`	No	Google OAuth client ID
`GOOGLE_CLIENT_SECRET`	No	Google OAuth client secret
`ALLOWED_HOSTS`	Yes	Comma-separated hostnames
`CORS_ALLOWED_ORIGINS`	Yes	Comma-separated frontend origins
`SENTRY_DSN`	No	Sentry error tracking DSN

Frontend (`Piicasso/frontend/.env`)

Variable	Required	Description
`REACT_APP_API_URL`	Yes	Backend API base URL
`REACT_APP_GOOGLE_CLIENT_ID`	No	Google OAuth client ID

CLI (`~/.piicasso/config.json` or env)

Variable	Required	Description
`PIICASSO_API`	No	Override API base URL for the CLI

Deployment

One-click

Render (backend)

Connect your GitHub repo to Render.
Create a Web Service rooted at Piicasso/backend/ (uses the included Dockerfile).
Set required environment variables in the dashboard.
Auto-deploys on push to main.

Vercel (frontend)

Import the repo to Vercel.
Set root directory to Piicasso/frontend.
Add REACT_APP_API_URL pointing to your Render backend URL.
Auto-deploys on push to main.

Publishing the CLI

# npm
cd Piicasso/cli-node
npm login
npm publish --access public

# PyPI
cd Piicasso/cli-python
python -m pip install --upgrade build twine
python -m build              # produces dist/*.tar.gz + dist/*.whl
twine check dist/*
twine upload dist/*

Production status

Infrastructure

Component	Provider	Config
Backend hosting	Render	2 Gunicorn workers, 120s timeout, Singapore region
Frontend hosting	Vercel	Edge CDN, automatic HTTPS
Database	PostgreSQL	Managed (Render or external)
Cache	Redis	Render Redis or Upstash
Nginx	Docker (Render)	`least_conn` + keepalive
npm package	npmjs.com	`piicasso@latest`
PyPI package	pypi.org	`piicasso`

Observability

Tool	Purpose	Coverage
Sentry	Error tracking	Backend + frontend
Better Stack	Uptime monitoring	3 endpoints
Prometheus	Metrics collection	Django middleware
Grafana Cloud	Dashboards	Performance + errors

Security

Control	Status
HTTPS enforced	✅ Render + Vercel
Security headers (CSP, HSTS, X-Frame)	✅
JWT + refresh tokens	✅ SimpleJWT
Google OAuth	✅ Cert caching enabled
CORS configured	✅ Per-environment origins
Environment secrets	✅ Never in version control
CLI token storage	✅ `~/.piicasso/config.json` (POSIX 0600 where supported)

Keep-alive

GitHub Actions pings the backend, frontend, and Supabase every 10 minutes to prevent free-tier spin-down. See Actions → keep-alive.

Project layout

PIIcasso/
├── Piicasso/
│   ├── backend/                    # Django API
│   │   ├── core/                   # Settings + core URLs
│   │   ├── operations/             # Operation history, breach search, financial risk
│   │   ├── password_security/      # Password strength + preferences
│   │   ├── teams/                  # Team management
│   │   ├── wordgen/                # AI wordlist generation + Gemini integration
│   │   ├── analytics/              # Analytics + system logs
│   │   ├── start.sh                # Gunicorn entrypoint (2w, 120s)
│   │   └── requirements.txt
│   │
│   ├── frontend/                   # React SPA
│   │   └── src/
│   │       ├── components/         # Terminal.js, Navbar, GlobalMap, ...
│   │       ├── context/            # AuthContext, ModeContext
│   │       ├── lib/piiEngine.js    # Shared PII detection engine (JS)
│   │       └── pages/              # TerminalPage, LandingPage, ...
│   │
│   ├── cli-node/                   # npm package `piicasso`
│   │   ├── bin/piicasso.js         # Node CLI entrypoint
│   │   ├── src/engine/pii.js       # Engine port (matches piiEngine.js)
│   │   ├── src/commands/           # One module per subcommand
│   │   └── src/repl.js             # Interactive REPL
│   │
│   ├── cli-python/                 # pip package `piicasso`
│   │   ├── pyproject.toml          # Hatchling build
│   │   ├── src/piicasso/engine/    # Python port of piiEngine.js
│   │   ├── src/piicasso/cli.py     # Click subcommand root
│   │   └── src/piicasso/repl.py    # Interactive REPL
│   │
│   ├── nginx/nginx.conf            # Reverse proxy + load balancing
│   ├── docker-compose.yml          # Full-stack orchestration
│   └── Dockerfile                  # Production backend image
│
├── .github/workflows/
│   ├── ci.yml                      # Tests + bundle build
│   └── keep-alive.yml              # Free-tier keep-alive pings
├── render.yaml                     # Render service config
├── vercel.json                     # Vercel project config
└── README.md

Contributing

git checkout -b feature/your-feature
# ... edit ...
flake8 Piicasso/backend            # backend lint
cd Piicasso/frontend && npm test   # frontend tests
cd Piicasso/cli-python && pytest   # CLI tests
git commit -m "feat: add your feature"
gh pr create

Style: PEP 8 + black (backend); Airbnb + prettier (frontend). Keep the engine in piiEngine.js, cli-node/src/engine/pii.js, and cli-python/src/piicasso/engine/pii.py in lockstep — changes to one require changes to the other two.

Security notice

PIIcasso is intended strictly for authorized security testing, penetration testing, and personal password safety education. Generating wordlists targeting individuals or systems without explicit consent is illegal. The maintainers assume no liability for misuse.

License

MIT — see LICENSE.

Name		Name	Last commit message	Last commit date
Latest commit History 205 Commits
.github		.github
Piicasso		Piicasso
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
docker-compose.yml		docker-compose.yml
piicasso.md		piicasso.md
render.yaml		render.yaml
vercel.json		vercel.json

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PIIcasso — Deep Search Intelligence Platform

Install in one line

Live demo

What is PIIcasso?

Surfaces

Web app

In-browser terminal

CLI (npm + pip)

CLI commands

Configuration

Key features

Architecture

Technology stack

Backend

Frontend

CLI

Quick start (local development)

Option A — Docker Compose (recommended)

Option B — Manual

Environment variables

Backend (Piicasso/backend/.env)

Frontend (Piicasso/frontend/.env)

CLI (~/.piicasso/config.json or env)

Deployment

One-click

Render (backend)

Vercel (frontend)

Publishing the CLI

Production status

Infrastructure

Observability

Security

Keep-alive

Project layout

Contributing

Security notice

License

About

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Forks

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