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Lite Hunt Ranger

Lite Hunt Ranger

Lite coin Hunting And Crack Private Key With Range Method [LTC]


Advanced Litecoin (LTC) address scanner and balance checker with multiple scanning modes for cryptocurrency research and security analysis.

Description

LiteHuntRanger is a comprehensive Litecoin address scanning toolkit that provides three different scanning approaches:

  • Offline Scanner: Fast local scanning against rich address databases
  • Online Scanner: Real-time balance checking via API integration
  • Threaded Scanner: High-performance multi-threaded online scanning

This tool is designed for educational purposes, security research, and understanding cryptocurrency address generation patterns.

Litecoin Wallet Scanner

Features

Core Capabilities

  • Generate Litecoin private keys and addresses from numeric ranges
  • Support for multiple address types (P2PKH, P2WPKH, P2SH-P2WPKH)
  • Real-time balance checking through Atomic Wallet API
  • Rich console interface with live statistics
  • Comprehensive logging and result export

Scanning Modes

  1. Offline Mode: Compare generated addresses against local rich address databases
  2. Online Mode: Check each generated address for balance via API
  3. Threaded Mode: Accelerated online scanning with configurable thread pools

User Interface

  • Three-panel layout with header, statistics, and activity monitoring
  • Live progress tracking with rates and counters
  • Color-coded status indicators
  • Terminal title updates with current progress

Installation

  1. Clone the repository:

    git clone https://github.com/Pymmdrza/LiteHuntRanger.git
    # Navigate to the project directory:
    cd LiteHuntRanger
  2. Install required dependencies:

    pip install -r requirements.txt

Usage

Offline Scanner

Scans against local rich address databases with automatic download capability.

python litecoin_offline_scanner.py

Litecoin Offline Scanner

Input Parameters:

  • Start Integer: Beginning of key range (e.g., 1000000)
  • End Integer: End of key range (e.g., 2000000)
  • Speed Integer: Progress display interval (e.g., 1000)
  • Output File: Result filename (e.g., found_keys.txt)

Features:

  • Automatic rich address database download
  • Progress tracking with scan speed
  • Found keys saved with addresses

Online Scanner

Scans addresses in real-time using the Atomic Wallet API.

python litecoin_online_scanner.py

Input Parameters:

  • Start Integer: Beginning of key range
  • End Integer: End of key range
  • Check Delay (ms): API request delay (recommended: 200-500ms)
  • Output File: Result filename

Features:

  • Live balance checking
  • Transaction count monitoring
  • Rate limiting protection
  • Random User-Agent rotation

Threaded Scanner

High-performance scanning using multiple threads for faster results.

python litecoin_threaded_scanner.py

Litecoin Online Scanner

Input Parameters:

  • Start Integer: Beginning of key range
  • End Integer: End of key range
  • Check Delay (ms): API request delay per thread
  • Thread Count: Number of concurrent threads (1-20)
  • Output File: Result filename

Features:

  • Concurrent API requests
  • Thread-safe operations
  • Enhanced performance monitoring
  • Distributed workload processing

Configuration

Messages Configuration

All user interface text and formatting is stored in messages.json:

{
  "offline_scanner": { ... },
  "online_scanner": { ... },
  "threaded_scanner": { ... }
}

Technical Details

Address Generation

  • Private keys generated from sequential integers
  • Conversion to 64-character hexadecimal format
  • Multiple address types derived from each key:
    • P2PKH (Legacy): Starting with 'L'
    • P2WPKH (SegWit): Starting with 'ltc1q'
    • P2SH-P2WPKH (SegWit Wrapped): Starting with 'M'

Performance Considerations

  • Offline Mode: ~1000-10000 keys/second (depends on database size)
  • Online Mode: ~2-5 checks/second (API limited)
  • Threaded Mode: ~10-50 checks/second (depends on thread count and API limits)

Rate Limiting

  • Configurable delays between API requests
  • Automatic backoff on rate limit detection
  • User-Agent rotation to avoid detection
  • Thread pool management for optimal performance

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