BITCOIN_PUZZLE_FINDER

Overview

The program implements an intelligent brute-force search for Bitcoin private keys, using machine learning (ML) techniques to optimize the search process.

Key Components

1. MLPredictor Class

• Purpose: Guides the search by learning which key ranges are more likely to contain matching addresses
• Mechanism:
• Divides the search range into 1000 segments
• Tracks hit rates (successful matches) in each segment
• Learns address patterns (character positions in Base58 addresses)
• Selects promising segments for focused searching

2. Cryptographic Functions

• Private Key → Public Key: Uses secp256k1 elliptic curve cryptography
• Public Key → Address:
• SHA256 hash
• RIPEMD160 hash
• Base58 encoding with checksum
• Private Key → WIF: Wallet Import Format conversion

3. Search Strategy

• Two-phase approach:

1. Linear Search: For small ranges (<1 million keys), performs exhaustive sequential search
2. ML-Guided Search: For larger ranges, uses adaptive sampling

• Parallel Processing: Uses multiple threads for faster computation

How It Works

Input Parameters

text

./program <start_hex> <end_hex> <target_address> [prefix]

• start_hex/end_hex: Hexadecimal range of private keys to search
• target_address: Bitcoin address to find
• prefix: First 6 characters of target address (auto-detected if not specified)

Search Process

1. Range Validation: Ensures start < end
2. Mode Selection: Chooses linear or ML search based on range size
3. Key Generation: Generates random private keys within selected segments
4. Address Computation: Converts keys to Bitcoin addresses
5. Matching: Compares against target address
6. Learning: Updates ML model with results