VISION-CLI v5.0.2 (Enterprise Edition)

VISION-CLI is an advanced, enterprise-grade threat intelligence and cybercrime prevention CLI built in Python. Designed to stop data leaks, detect AI-generated media, and block phishing attacks—all from your terminal.

🚀 New in v5.0: A massive architectural overhaul delivering production-ready stability. Features include O(1) memory profiling with mmap for scanning 100GB+ files, Exponential Backoff for resilient API calls, strict zero-trust config permissions, and a modular plugin architecture tested with 100% Mock E2E coverage.

Installation

The easiest way to install VISION-CLI is directly from PyPI (globally available on your system):

pip install vision-cli

Manual Installation (from source)

1. Clone the repository:

   git clone https://github.com/SHAURYASANYAL3/VISION-CLI.git
   cd VISION-CLI
   

2. Install via pip:

   pip install .
   

(Note: Installing PyTorch and Transformers for the AI morph checker requires a substantial download. You can also install Tesseract-OCR on your host OS for the leak command's visual text extraction capabilities.)

Features

1. 🕵️ Leak Scanner (leak)

Scans files and directories for hardcoded secrets, passwords, and PII using an ultra-fast multi-threaded scanner. Now automatically ignores noisy directories like .git and node_modules.

• Regex Engine: Detects common secrets (API keys, tokens, emails).
• Deep Vision OCR: Using pytesseract, the scanner can extract text from images to detect passwords leaked visually.

2. 🤖 AI Morph Checker (morph)

Analyzes images to determine if they are authentic or AI-generated.

• Deep Learning Pipeline: Leverages HuggingFace transformers to run pixel-level inference on images.
• Metadata Fallback: If ML libraries aren't installed, it falls back to a signature scan to detect common AI tools (Midjourney, DALL-E) and traditional editors (Photoshop).

3. 🚨 Breach Lookup (breach)

Checks if an email address has been compromised in a known data breach using the XposedOrNot live API.

4. 🎣 Phish Analyzer (phish)

Scans URLs and domains for phishing indicators.

• VirusTotal Integration: Query over 70+ security engines. (Requires API key, see configuration below).
• Live Database: Queries PhishStats.
• Heuristic Scoring & SSL Verification: Analyzes URL structure for suspicious indicators and inspects the SSL certificate age.

Configuration & Environment Variables

VISION-CLI stores its configuration file at ~/.vision_cli_config.yaml. You can pass API keys via the config file, or ideally, through environment variables (perfect for CI/CD environments):

• VirusTotal API Key: VISION_VT_API_KEY

  export VISION_VT_API_KEY="your_api_key_here"
  

Usage

Global Flags:

• --json: Output results in JSON format (suppresses the rich animated UI, ideal for scripts).

Command Examples:

# Scan a directory for text and visual (OCR) leaks
vision-cli leak "/path/to/project"

# Check if an image (or folder of images) is AI-generated
vision-cli morph "/path/to/image.jpg"

# Check if an email is in a dark web database
vision-cli breach "admin@example.com"

# Analyze a suspicious link
vision-cli phish "http://suspicious-login.xyz"

Troubleshooting & Logs

If VISION-CLI crashes or encounters an unexpected error, a safe generic error will be shown on the terminal. Detailed diagnostic logs are saved to ~/.vision_cli.log.

Development & CI

This project uses automated GitHub Actions workflows to lint (flake8) and test (pytest) the code on every push.

pip install -r requirements.txt
pip install pytest flake8
pytest
flake8 vision_cli