Legit-Wallet-Stealer

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Legit-Wallet-Stealer

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This project generates random Ethereum wallets using 'mnemonic words' and checks the balance in each wallet. If the balance is different from 0.0 ETH, the bot will notify us through Telegram with all the accounts.

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# Legit-Wallet-Stealer

A high-performance, GPU-accelerated cryptocurrency wallet checker that monitors multiple blockchains in parallel. This project utilizes CUDA acceleration for maximum efficiency in generating and checking wallet addresses across different networks.

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/furkankoykiran/Legit-Wallet-Stealer/blob/main/wallet_stealer.ipynb)

## Features

- 🚀 GPU-accelerated wallet generation using CUDA (CuPy)
- 💠 Multi-chain support (ETH, BSC, POLYGON, AVALANCHE)
- 💰 Automatic token discovery and value calculation
- 📊 Real-time price tracking via exchange APIs
- 🔔 Instant Telegram notifications for valuable wallets
- 🎯 Smart memory management and batch processing
- 📈 Automatic scaling based on available GPU resources
- 🔄 Continuous operation with error recovery
- 🛡️ Robust error handling and logging

## Quick Start (Google Colab)

1. Click the "Open in Colab" button above
2. Enable GPU runtime: Runtime > Change runtime type > GPU
3. Run all cells in order
4. Enter your Telegram credentials when prompted

## Requirements

- Python 3.8+
- CUDA-compatible GPU (for GPU acceleration)
- Telegram Bot Token and Chat ID
- Internet connection

## Installation

### Local Setup

1. Clone the repository:
```bash
git clone https://github.com/furkankoykiran/Legit-Wallet-Stealer.git
cd Legit-Wallet-Stealer
```

2. Create and activate a virtual environment:
```bash
# Windows
python -m venv venv
venv\Scripts\activate

# Linux/Mac
python3 -m venv venv
source venv/bin/activate
```

3. Install dependencies:
```bash
pip install -r requirements.txt
```

4. Configure environment variables in `.env`:
```env
TELEGRAM_BOT_TOKEN=your_bot_token
TELEGRAM_CHAT_ID=your_chat_id
ENABLE_GPU=true
BATCH_SIZE=5000
NUM_GPU_STREAMS=4
CHECK_INTERVAL=60
MIN_TOKEN_VALUE_USD=10.0
```

### Google Colab Detailed Setup

1. Click the "Open in Colab" button at the top of this README
2. Enable GPU runtime:
   - Click Runtime in the menu
   - Select "Change runtime type"
   - Choose "GPU" from the hardware accelerator dropdown
   - Click "Save"
3. Run all cells in order:
   - Each cell will show a checkmark when completed
   - The system will verify GPU availability
   - You'll be prompted for Telegram credentials
4. Monitor the execution:
   - Check GPU utilization in the provided stats
   - Watch for Telegram notifications
   - View logs in the output

## Architecture

The project follows a modular OOP design with the following components:

### Core Components
- `WalletManager`: Handles wallet generation and processing using GPU acceleration
- `BlockchainManager`: Manages blockchain connections and token operations
- `TelegramService`: Handles notification delivery

### Utilities
- `GPUContext`: Manages GPU resources and memory
- `Logger`: Provides structured logging across components

### Performance Optimizations

1. **GPU Acceleration**
   - Batch processing of wallet generation
   - Parallel memory operations
   - Efficient memory management with CuPy
   - Automatic batch size optimization

2. **Network Optimization**
   - Asynchronous blockchain queries
   - Connection pooling
   - Request batching
   - Smart caching for token prices

3. **Resource Management**
   - Automatic GPU memory cleanup
   - Connection pooling for Web3
   - Efficient error handling and recovery

## Usage

### Running Locally

```bash
python main.py
```

### Running on Google Colab

Simply click the "Open in Colab" button at the top of this README and follow the Quick Start instructions.

## Monitoring

- Check the `logs` directory for detailed operation logs
- Monitor Telegram for valuable wallet notifications
- Use `nvidia-smi` to monitor GPU usage

## Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a new Pull Request

## Disclaimer

This project is for educational purposes only. Always respect privacy and follow applicable laws and regulations.

## License

MIT License - see LICENSE file for details

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