### PyOpenCL Example: GPU Kernel Execution
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Demonstrates a basic example of using PyOpenCL to execute a kernel on a GPU. It covers context creation, command queue setup, kernel compilation, data transfer to the GPU, kernel execution, and retrieval of results.
```python
import pyopencl as cl
import numpy as np
# Создание контекста и очереди
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
# Пример ядра для вычислений
prg = cl.Program(ctx, """
__kernel void example(__global float *data) {
int idx = get_global_id(0);
data[idx] *= 2;
}
""").build()
# Данные для обработки
data = np.random.rand(1024).astype(np.float32)
buf = cl.Buffer(ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=data)
# Выполнение ядра
prg.example(queue, data.shape, None, buf)
# Чтение результатов
result = np.empty_like(data)
cl.enqueue_copy(queue, result, buf)
print(result)
```
--------------------------------
### Install PyOpenCL and NumPy using pip
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Installs the PyOpenCL and NumPy libraries using pip, a package installer for Python. These libraries are essential for working with OpenCL and numerical operations in Python.
```bash
pip install pyopencl numpy
```
--------------------------------
### Install base58 library
Source: https://github.com/demining/bitcoindigger/blob/main/004_How-to-convert-a-private-key-from-wif-hex-format-to-legacy-and-segwit-addresses-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
Command to install the base58 Python library using pip, which is necessary for WIF to HEX private key conversion.
```bash
pip install base58
```
--------------------------------
### Install PyOpenCL and NumPy using conda
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Installs the PyOpenCL and NumPy libraries using conda, a package and environment manager. This method is suitable for users who prefer or utilize the Anaconda distribution.
```bash
conda install -c conda-forge pyopencl numpy
```
--------------------------------
### Install Bitcoin Utilities and BloomFilterPy
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
Installs the necessary Python libraries, bitcoinutils for Bitcoin transaction manipulation and BloomFilterPy for efficient data filtering, required to run the provided script.
```bash
pip install bitcoinutils BloomFilterPy
```
--------------------------------
### Install PyCUDA and NumPy
Source: https://github.com/demining/bitcoindigger/blob/main/009_Which-nvidia-video-cards-are-used-to-find-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Installs the necessary Python libraries, PyCUDA for GPU computing and NumPy for numerical operations, using pip.
```bash
pip install pycuda numpy
```
--------------------------------
### Install Bitcoin and Cryptography Libraries
Source: https://github.com/demining/bitcoindigger/blob/main/004_How-to-convert-a-private-key-from-wif-hex-format-to-legacy-and-segwit-addresses-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
Installs necessary Python libraries 'bitcoinaddress' and 'pycryptodome' using pip. These libraries are required for Bitcoin address manipulation and cryptographic functions.
```bash
pip install bitcoinaddress pycryptodome
```
--------------------------------
### Install Libraries for GPU Mining and Bloom Filter
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
Installs the necessary Python libraries, PyCuda for GPU computations and mmh3 for hashing used in the Bloom filter implementation.
```bash
pip install pycuda mmh3
```
--------------------------------
### Accelerate Cryptographic Computing with PyOpenCL
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
This Python script demonstrates how to use PyOpenCL to accelerate cryptographic computations on a GPU. It includes setting up a context, creating a kernel, processing data on the GPU, and retrieving the results. Ensure you have a compatible GPU and the necessary OpenCL drivers installed.
```python
import pyopencl as cl
import numpy as np
# Creating context and queue
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
# Example kernel for computation
prg = cl.Program(ctx, """
__kernel void example(__global float *data) {
int idx = get_global_id(0);
data[idx] *= 2;
}
""").build()
# Data for processing
data = np.random.rand(1024).astype(np.float32)
buf = cl.Buffer(ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=data)
# Executing the kernel
prg.example(queue, data.shape, None, buf)
# Reading results
result = np.empty_like(data)
cl.enqueue_copy(queue, result, buf)
print(result)
```
--------------------------------
### Install Libraries for Bitcoin Balance Check (Bash)
Source: https://github.com/demining/bitcoindigger/blob/main/007_How-to-check-bitcoin-address-balance-using-bloom-filter-algorithm/README.md
Installs the `pybloom_live` library for Bloom filter implementation and the `requests` library for making API calls. These are essential for the Python script that checks Bitcoin address balances.
```bash
pip install pybloom_live requests
```
--------------------------------
### Python GPU Computation Acceleration with PyCuda
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
Demonstrates accelerating computations using PyCuda by defining and executing a simple CUDA kernel. This example shows how to initialize data, transfer it to the GPU, run a kernel, and retrieve the results.
```python
import pycuda.autoinit
import pycuda.driver as drv
from pycuda.compiler import SourceModule
# Пример кода для ускорения вычислений на GPU
mod = SourceModule(`
__global__ void example_kernel(float *data) {
int idx = threadIdx.x;
data[idx] *= 2;
}
`)
# Инициализация данных
data = [1.0, 2.0, 3.0, 4.0]
data_gpu = drv.mem_alloc(data.__sizeof__())
drv.memcpy_htod(data_gpu, data)
# Вызов ядра
func = mod.get_function("example_kernel")
func(data_gpu, block=(4,1,1))
# Получение результатов
result = [0.0] * len(data)
drv.memcpy_dtoh(result, data_gpu)
print(result) # [2.0, 4.0, 6.0, 8.0]
```
--------------------------------
### Install Libraries: pycuda, mmh3
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
Installs the necessary Python libraries for GPU computing (pycuda) and Bloom filter hashing (mmh3). These are prerequisites for the Bitcoin key discovery process.
```bash
pip install pycuda mmh3
```
--------------------------------
### Python Private Key Enumeration Example
Source: https://github.com/demining/bitcoindigger/blob/main/008_Collision-for-finding-the-private-key-of-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
A Python script demonstrating the process of generating a private key, deriving its corresponding public key, and calculating the RIPEMD-160 hash. This is a simplified example for educational purposes and is not practical for finding real Bitcoin private keys due to the immense keyspace and low collision probability.
```python
import hashlib
import ecdsa
import random
def generate_private_key():
"""Генерирует случайный приватный ключ."""
return ecdsa.SigningKey.generate(curve=ecdsa.SECP256k1)
def get_public_key(private_key):
"""Получает публичный ключ из приватного."""
return private_key.get_verifying_key()
def get_ripemd160_hash(public_key):
"""Вычисляет хеш RIPEMD-160 для публичного ключа."""
sha256_hash = hashlib.sha256(public_key.to_string()).digest()
return hashlib.new('ripemd160', sha256_hash).hexdigest()
def search_collision(target_hash):
"""Простой пример поиска коллизии."""
while True:
private_key = generate_private_key()
public_key = get_public_key(private_key)
hash_value = get_ripemd160_hash(public_key)
if hash_value == target_hash:
print("Коллизия найдена!")
return private_key
# Пример использования
target_hash = "some_target_hash_here" # Замените на целевой хеш
search_collision(target_hash)
```
--------------------------------
### Install Libraries and Clone Repository
Source: https://github.com/demining/bitcoindigger/blob/main/002_How_to_extract_RSZ_values_R_S_Z_from_Bitcoin_transaction_RawTX_and_uses_the_Bloom_filter_algorithm_to_speed_up_the_work/README.md
Installs the 'ecdsa' library and clones the 'rsz' repository from GitHub, which contains necessary functions for extracting R, S, and Z values from Bitcoin signatures.
```bash
pip install ecdsa
git clone https://github.com/iceland2k14/rsz.git
```
--------------------------------
### Integrate BloomFilterPy with pycoin for Advanced RawTX
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
Shows how to use BloomFilterPy with pycoin for advanced transaction creation. This example uses address hashes for filtering and supports batch checking and PSBT for multi-signatures.
```python
from pycoin.tx.Tx import Tx
from pycoin.tx.tx_utils import create_tx
from pycoin.ui import standard_tx_out_script
from pybloom import BloomFilter
# Конфигурация Bloom
bloom = BloomFilter(capacity=500, error_rate=0.001)
known_hashes = {b'addr1_hash', b'addr2_hash'}
[bloom.add(h) for h in known_hashes]
# Получение UTXO через собственный узел
def get_filtered_utxos(node):
return [utxo for utxo in node.getutxos()
if bloom.check(hash(utxo.address))]
# Сборка транзакции
tx = create_tx(
inputs=get_filtered_utxos(my_node),
outputs=[(recipient_addr, 0.01)],
fee=0.0001,
network='BTC'
)
print("Raw TX:", tx.as_hex())
```
--------------------------------
### Bitcoin Uncompressed Public Key Format
Source: https://github.com/demining/bitcoindigger/blob/main/006_How-to-get-x-and-y-coordinates-from-a-bitcoin-public-key-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
The uncompressed public key format in Bitcoin starts with a '04' prefix and occupies 65 bytes (130 hexadecimal characters). It includes both the X and Y coordinates of the public key. This format is used for full public key identification but is less space-efficient.
```plaintext
04
```
--------------------------------
### Build Raw Bitcoin Transaction with Bloom Filter (Python)
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
A Python script demonstrating how to create a raw Bitcoin transaction. It utilizes bitcoinutils for transaction construction and BloomFilterPy to filter UTXOs associated with wallet addresses. The script includes setup, address addition to the filter, UTXO lookup, transaction assembly, signing, and serialization.
```python
from bitcoinutils.setup import setup
from bitcoinutils.transactions import Transaction, TxInput, TxOutput
from bitcoinutils.keys import PrivateKey, P2pkhAddress
from pybloom import BloomFilter
def build_tx_with_bloom():
# Initialize the Bitcoin network
setup('mainnet')
# List of wallet addresses
wallet_addrs = [
'1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa',
'bc1qar0srrr7xfkvy5l643lydnw9re59gtzzwf5mdq'
]
# Initialize Bloom filter
bloom = BloomFilter(
capacity=500, # Expected number of elements
error_rate=0.01, # 1% probability of errors
mode='optimal' # Automatic selection of parameters
)
# Adding addresses to the filter
for addr in wallet_addrs:
bloom.add(addr.encode('utf-8')) # Be sure to convert to bytes
# Getting UTXO (sample data)
utxo_pool = [
{
'txid': 'a9d459...',
'vout': 0,
'amount': 0.005,
'address': '1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa',
'privkey': 'L4gB7...'
}
]
# Filtering via Bloom
valid_utxo = [utxo for utxo in utxo_pool
if bloom.check(utxo['address'].encode('utf-8'))]
# Creating transaction inputs
tx_inputs = [TxInput(utxo['txid'], utxo['vout']) for utxo in valid_utxo]
# Calculate amount and fee
total_in = sum(utxo['amount'] for utxo in valid_utxo)
fee = 0.00015 # Fee example
send_amount = total_in - fee
# Create output
recipient = '1BoatSLRHtKNngkdXEeobR76b53LETtpyT'
tx_output = TxOutput(
send_amount,
P2pkhAddress(recipient).to_script_pub_key()
)
# Assemble and sign
tx = Transaction(tx_inputs, [tx_output])
for i, utxo in enumerate(valid_utxo):
tx.sign_input(i, PrivateKey.from_wif(utxo['privkey']))
return tx.serialize()
print(f"Raw TX:{build_tx_with_bloom()}")
```
--------------------------------
### GPU Acceleration for Key Verification with PyCUDA
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
A PyCUDA kernel designed to accelerate key generation and verification processes on the GPU. This is a simplified example focusing on the structure for parallel processing of keys, requiring further logic for actual key checks.
```python
import pycuda.autoinit
import pycuda.driver as cuda
from pycuda.compiler import SourceModule
mod = SourceModule(__n
__global__ void check_keys(float *keys, int size) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < size) {
// Здесь должна быть логика проверки ключа
// Например, проверка на соответствие определенным критериям
// keys[idx] = ...;
}
}
)
def generate_and_check_keys_on_gpu(size):
keys_gpu = cuda.mem_alloc(size * np.float32().nbytes)
func = mod.get_function("check_keys")
func(keys_gpu, np.int32(size), block=(256,1,1), grid=(size//256+1,1))
keys = np.empty(size, dtype=np.float32)
cuda.memcpy_dtoh(keys, keys_gpu)
return keys
```
--------------------------------
### Python PyCUDA GPU Computation Example
Source: https://github.com/demining/bitcoindigger/blob/main/012_Blackcat-collider-tool-for-recovering-private-key-to-bitcoin-wallet-using-gpu-and-bloom-filter-algorithm/README.md
This Python code demonstrates basic GPU computation using the PyCUDA library. It defines a simple CUDA kernel for element-wise multiplication of two arrays and executes it on the GPU, transferring data between host and device.
```python
import pycuda.autoinit
import pycuda.driver as drv
import numpy as np
from pycuda.compiler import SourceModule
# Простой пример вычислений на GPU
mod = SourceModule("""
__global__ void multiply(float *d_result, float *d_a, float *d_b) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
d_result[idx] = d_a[idx] * d_b[idx];
}
""")
multiply = mod.get_function("multiply")
# Создание массивов
a = np.random.rand(100).astype(np.float32)
b = np.random.rand(100).astype(np.float32)
result = np.zeros_like(a)
# Перенос данных на GPU
d_a = drv.mem_alloc(a.nbytes)
d_b = drv.mem_alloc(b.nbytes)
d_result = drv.mem_alloc(result.nbytes)
drv.memcpy_htod(d_a, a)
drv.memcpy_htod(d_b, b)
# Выполнение вычислений на GPU
multiply(d_result, d_a, d_b, block=(256,1,1), grid=(1,1))
# Перенос результата обратно на CPU
drv.memcpy_dtoh(result, d_result)
print(result)
```
--------------------------------
### Python Bloom Filter Implementation for Addresses
Source: https://github.com/demining/bitcoindigger/blob/main/002_How_to_extract_RSZ_values_R_S_Z_from_Bitcoin_transaction_RawTX_and_uses_the_Bloom_filter_algorithm_to_speed_up_the_work/README.md
A practical Python example showcasing Bloom filter usage for managing Bitcoin addresses. It covers filter creation, adding addresses, and checking for address existence. This implementation relies on the 'pybloom_live' library.
```python
from pybloom_live import BloomFilter
# Создание Bloom filter
bf = BloomFilter(100000, 1e-6)
# Добавление адресов в фильтр
addresses = ["addr1", "addr2", "addr3"]
for addr in addresses:
bf.add(addr)
# Проверка наличия адреса в фильтре
def check_address_in_bloom_filter(bf, addr):
return addr in bf
# Пример использования
print(check_address_in_bloom_filter(bf, "addr1")) # True
print(check_address_in_bloom_filter(bf, "addr4")) # False
```
--------------------------------
### Python Cuckoo Filter Implementation for Data Checking
Source: https://github.com/demining/bitcoindigger/blob/main/006_How-to-get-x-and-y-coordinates-from-a-bitcoin-public-key-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
A Python implementation of a Cuckoo Filter using the mmh3 library for hashing. It allows adding items and checking for their existence, demonstrating a practical use case for quick data presence verification.
```python
import mmh3
class CuckooFilter:
def __init__(self, size, hash_count):
self.size = size
self.hash_count = hash_count
self.buckets = [[] for _ in range(size)]
def _hash(self, item, seed):
return mmh3.hash(item, seed) % self.size
def add(self, item):
for seed in range(self.hash_count):
index = self._hash(item, seed)
if len(self.buckets[index]) < 2:
self.buckets[index].append(item)
return True
# Если все места заняты, необходимо удалить один элемент
# Реализация удаления не показана для простоты
def check(self, item):
for seed in range(self.hash_count):
index = self._hash(item, seed)
if item in self.buckets[index]:
return True
return False
# Пример использования
cuckoo_filter = CuckooFilter(1000, 5)
cuckoo_filter.add("04c5389a31ce6149c28ba20d14db8540b2319e5a65000a2919fbf7a6296e7840b53f883a9483fb7f2b43f3eacd857c904d1b70ecc168571b64d8f1ab82b57eea88")
print(cuckoo_filter.check("04c5389a31ce6149c28ba20d14db8540b2319e5a65000a2919fbf7a6296e7840b53f883a9483fb7f2b43f3eacd857c904d1b70ecc168571b64d8f1ab82b57eea88")) # True
```
--------------------------------
### Python Hash Table for Bitcoin Address Lookup
Source: https://github.com/demining/bitcoindigger/blob/main/005_How-to-convert-a-public-key-to-a-bitcoin-address-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
This Python code defines a HashTable class to store and retrieve Bitcoin addresses mapped to their corresponding public keys. It includes a function to convert public keys to Bitcoin addresses using SHA-256 and RIPEMD-160 hashing, followed by Base58Check encoding. The example demonstrates adding a public key-address pair and then retrieving the address using the hash table.
```python
import hashlib
import base58
# Пример хэш-таблицы для быстрого поиска адресов
class HashTable:
def __init__(self):
self.table = {}
def add(self, public_key, address):
self.table[public_key] = address
def get(self, public_key):
return self.table.get(public_key)
# Пример использования
hash_table = HashTable()
# Преобразование открытого ключа в адрес (аналогично предыдущему примеру)
def public_key_to_address(public_key):
# Реализация преобразования открытого ключа в адрес
h160 = hashlib.new('ripemd160', hashlib.sha256(public_key).digest()).digest()
return '1' + base58.b58encode_check(b'\x00' + h160).decode()
public_key = b'\x04c5389a31ce6149c28ba20d14db8540b2319e5a65000a2919fbf7a6296e7840b53f883a9483fb7f2b43f3eacd857c904d1b70ecc168571b64d8f1ab82b57eea88'
address = public_key_to_address(public_key)
# Добавление в хэш-таблицу
hash_table.add(public_key, address)
# Быстрый поиск адреса по открытому ключу
print(hash_table.get(public_key))
```
--------------------------------
### Python Script with PyCUDA for GPU Private Key Search
Source: https://github.com/demining/bitcoindigger/blob/main/009_Which-nvidia-video-cards-are-used-to-find-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
A Python script employing PyCUDA to demonstrate GPU acceleration for finding Bitcoin private keys. It includes a CUDA kernel for parallel processing of hash calculations. Note: This is a simplified example and not suitable for actual private key mining due to its simplified cryptographic implementation.
```python
import numpy as np
import pycuda.autoinit
import pycuda.driver as drv
from pycuda.compiler import SourceModule
import hashlib
# Функция для вычисления хеша RIPEMD-160
def ripemd160(data):
return hashlib.new('ripemd160', data).digest()
# CUDA Кернел для поиска приватных ключей
mod = SourceModule(r"""
__global__ void search_private_keys(unsigned char *hashes, int num_hashes) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx >= num_hashes) return;
unsigned char private_key[32];
unsigned char public_key[65];
unsigned char hash[20];
// Примерная реализация поиска приватного ключа
// В реальности это будет более сложный процесс
for (int i = 0; i < 32; i++) {
private_key[i] = idx + i;
}
// Вычисление публичного ключа из приватного (упрощенная версия)
// В реальности используется эллиптическая криптография
for (int i = 0; i < 65; i++) {
public_key[i] = private_key[i % 32];
}
// Вычисление хеша RIPEMD-160 для публичного ключа
// В реальности используется SHA-256 + RIPEMD-160
for (int i = 0; i < 20; i++) {
hash[i] = public_key[i % 65];
}
// Сравнение с заданными хешами
for (int i = 0; i < num_hashes; i++) {
if (memcmp(hash, &hashes[i*20], 20) == 0) {
printf("Found private key: ");
for (int j = 0; j < 32; j++) {
printf("%02x", private_key[j]);
}
printf("\n");
}
}
}
""")
# Получение функции из модуля
search_private_keys = mod.get_function("search_private_keys")
# Примерные данные для поиска
num_hashes = 10
hashes = np.zeros((num_hashes, 20), dtype=np.uint8)
# Копирование данных на GPU
d_hashes = drv.mem_alloc(hashes.nbytes)
drv.memcpy_htod(d_hashes, hashes)
# Запуск CUDA ядра
search_private_keys(d_hashes, np.int32(num_hashes), block=(256,1,1), grid=(1,1))
# Очистка
drv.Context.synchronize()
```
--------------------------------
### Python Bloom Filter Implementation for Private Key Search
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
This Python code implements a Bloom filter, a probabilistic data structure used for checking set membership efficiently. It uses the 'mmh3' library for hashing and 'bitarray' for the bit vector. The implementation includes methods for adding elements and looking them up, with an example demonstrating its usage for private key searches.
```python
import mmh3
from bitarray import bitarray
class BloomFilter(object):
def __init__(self, size, hash_count):
self.size = size
self.hash_count = hash_count
self.bit_array = bitarray(size)
self.bit_array.setall(0)
def _hash(self, item, seed):
return mmh3.hash(item, seed) % self.size
def add(self, item):
for seed in range(self.hash_count):
result = self._hash(item, seed)
self.bit_array[result] = 1
def lookup(self, item):
for seed in range(self.hash_count):
result = self._hash(item, seed)
if self.bit_array[result] == 0:
return False
return True
# Пример использования
bf = BloomFilter(500000, 7) # Размер фильтра и количество хеш-функций
# Добавление элементов в фильтр
# Assuming potential_keys is a defined list or iterable
# for key in potential_keys:
# bf.add(key)
# Проверка существования ключа
# Assuming target_key is a defined variable
# if bf.lookup(target_key):
# print("Ключ может существовать")
# else:
# print("Ключ точно не существует")
```
--------------------------------
### Bitcoin Compressed Public Key Format
Source: https://github.com/demining/bitcoindigger/blob/main/006_How-to-get-x-and-y-coordinates-from-a-bitcoin-public-key-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
The compressed public key format in Bitcoin begins with a '02' or '03' prefix, indicating the sign of the Y coordinate. It uses only the X coordinate and the sign of the Y coordinate, resulting in a more compact 33-byte (66 hexadecimal characters) representation. This format is preferred for its efficiency and is widely adopted in modern Bitcoin applications.
```plaintext
02 (if Y is even)
03 (if Y is odd)
```
--------------------------------
### Enable PyOpenCL Compiler Output
Source: https://github.com/demining/bitcoindigger/blob/main/011_Tools-for-btc-puzzle-that-uses-gpu-to-speed-up-the-process-of-finding-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Enables detailed compiler output for PyOpenCL to help debug compilation errors. This is done by setting the PYOPENCL_COMPILER_OUTPUT environment variable.
```bash
export PYOPENCL_COMPILER_OUTPUT=1
```
--------------------------------
### Prepare and Run BitcoinDigger Script
Source: https://github.com/demining/bitcoindigger/blob/main/README.md
These commands navigate to the cloned directory, make the necessary scripts executable, fix line endings, and then run the main BitcoinDigger Python script.
```bash
cd bitcoindigger/
chmod +x storagespace
chmod +x algorithm
sed -i -e 's/\r$//' storagespace
sed -i -e 's/\r$//' algorithm
python3 BitcoinDigger.py
```
--------------------------------
### Create and Initialize Bloom Filter in Python
Source: https://github.com/demining/bitcoindigger/blob/main/007_How-to-check-bitcoin-address-balance-using-bloom-filter-algorithm/README.md
This snippet shows how to create a Bloom filter using the `pybloom_live` library in Python. It initializes the filter with a specified size and error rate, which are crucial parameters for its performance.
```python
from pybloom_live import BloomFilter
# Параметры для Bloom filter
size = 1000000 # Размер фильтра
error_rate = 0.001 # Вероятность ложного срабатывания
# Создание Bloom filterf = BloomFilter(size, error_rate)
```
--------------------------------
### Integrating with Bitcoin Core RPC for Unspent Outputs
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
Shows how to connect to a Bitcoin Core node using the `bitcoin.rpc` library in Python to retrieve a list of unspent transaction outputs.
```python
from bitcoin.rpc import RawProxy
proxy = RawProxy()
raw_utxos = proxy.listunspent(0)
```
--------------------------------
### Python Script: Convert Private Key to Bitcoin Addresses and Use Bloom Filter
Source: https://github.com/demining/bitcoindigger/blob/main/004_How-to-convert-a-private-key-from-wif-hex-format-to-legacy-and-segwit-addresses-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
A Python script that converts a Bitcoin private key from WIF format to legacy and SegWit addresses using the 'bitcoinaddress' library. It also includes a basic implementation of a Bloom filter using 'mmh3' for efficient address lookups. The script demonstrates adding addresses to the filter and checking for their presence.
```python
from bitcoinaddress import Wallet
from Crypto.Hash import SHA256
import mmh3
def private_key_to_address(private_key_wif):
"""Преобразует приватный ключ WIF в адрес."""
wallet = Wallet(private_key_wif)
return wallet.address
def private_key_to_segwit_address(private_key_wif):
"""Преобразует приватный ключ WIF в SegWit-адрес."""
wallet = Wallet(private_key_wif)
return wallet.p2sh_segwit_address
def bloom_filter(addresses):
"""Простой пример использования Bloom filter для фильтрации адресов."""
# Инициализация Bloom filter
size = 1000000
hash_functions = 7
bit_array = [0] * size
def add(address):
for seed in range(hash_functions):
result = mmh3.hash(address, seed) % size
bit_array[result] = 1
def lookup(address):
for seed in range(hash_functions):
result = mmh3.hash(address, seed) % size
if bit_array[result] == 0:
return False
return True
# Добавляем адреса в Bloom filter
for address in addresses:
add(address)
return lookup
# Пример использования
private_key_wif = "5HqrbgkWPqBy6dvCE7FoUiMuiCfFPRdtRsyi6NuCM2np8qBZxq5"
address = private_key_to_address(private_key_wif)
segwit_address = private_key_to_segwit_address(private_key_wif)
print(f"Адрес: {address}")
print(f"SegWit-адрес: {segwit_address}")
# Пример использования Bloom filter
addresses = [address, segwit_address]
lookup_func = bloom_filter(addresses)
# Проверка адреса
print(f"Адрес {address} найден: {lookup_func(address)}")
print(f"Адрес {segwit_address} найден: {lookup_func(segwit_address)}")
```
--------------------------------
### Python: Create Raw Bitcoin Transaction with Bloom Filter
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
This Python script demonstrates how to create a raw Bitcoin transaction using the bitcoinutils library and a Bloom filter for UTXO selection. It initializes a Bloom filter with wallet addresses, filters a list of UTXOs based on address membership in the filter, constructs the transaction inputs and outputs, and signs the transaction using private keys. Dependencies include `bitcoinutils` and `pybloom`.
```python
from bitcoinutils.setup import setup
from bitcoinutils.transactions import Transaction, TxInput, TxOutput
from bitcoinutils.keys import PrivateKey, P2pkhAddress
from pybloom import BloomFilter
def create_raw_tx():
# Инициализация сети Bitcoin
setup('mainnet')
# Инициализация Bloom filter с адресами кошелька
wallet_addresses = [
'1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa',
'1BitcoinEaterAddressDontSendf59kuE'
]
bloom = BloomFilter(
capacity=1000,
error_rate=0.001,
backend='bitarray'
)
for addr in wallet_addresses:
bloom.add(addr)
# Фильтрация UTXO (пример данных)
utxo_list = [
{
'txid': 'abc123...',
'vout': 0,
'amount': 0.01,
'address': '1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa',
'privkey': 'L4gB7...'
}
]
# Выбор подходящих UTXO через Bloom filter
selected_utxo = [
utxo for utxo in utxo_list
if utxo['address'] in bloom
]
# Создание входов транзакции
inputs = []
for utxo in selected_utxo:
inputs.append(TxInput(utxo['txid'], utxo['vout']))
# Создание выходов
output = TxOutput(
0.009, # сумма с учетом комиссии
P2pkhAddress('recipient_address_here').to_script_pub_key()
)
# Сборка транзакции
tx = Transaction(inputs, [output])
# Подписание входов
for i, utxo in enumerate(selected_utxo):
priv_key = PrivateKey.from_wif(utxo['privkey'])
tx.sign_input(i, priv_key)
return tx.serialize()
# Выполнение
print("Raw transaction:", create_raw_tx())
```
--------------------------------
### Integrate Bloom Filter with GPU Acceleration in Python
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
Demonstrates the integration of a Bloom filter with GPU acceleration. Potential keys are first filtered using the Bloom filter on the CPU, and then the remaining keys are sent to the GPU for further processing. This approach optimizes the key discovery pipeline.
```python
def secret_scan():
bf_size = 1000000
bf_hash_count = 7
bloom_filter = BloomFilter(bf_size, bf_hash_count)
known_keys = ["key1", "key2"]
for key in known_keys:
bloom_filter.add(key)
```
--------------------------------
### Optimizing Bloom Filter Capacity in Python
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
Demonstrates how to initialize a BloomFilter in Python with custom capacity and error rate. This is useful for managing false positive rates in large datasets of Bitcoin addresses.
```python
bloom = BloomFilter( capacity=len(addresses) * 1.3,
error_rate=0.001,
mode='fast'
)
```
--------------------------------
### Convert Bitcoin Private Key from HEX to WIF Format (Python)
Source: https://github.com/demining/bitcoindigger/blob/main/004_How-to-convert-a-private-key-from-wif-hex-format-to-legacy-and-segwit-addresses-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
This Python function converts a Bitcoin private key from HEX format to the Wallet Import Format (WIF). It involves adding a prefix, calculating a SHA256 checksum, appending it, and then Base58 encoding the result. Requires the 'base58' and 'hashlib' libraries.
```python
import hashlib
import base58
def hex_to_wif(hex_key):
# Добавляем префикс '80' для приватного ключа в формате WIF
hex_key = '80' + hex_key
# Вычисляем контрольную сумму
checksum = hashlib.sha256(hashlib.sha256(bytes.fromhex(hex_key)).digest()).digest()[:4]
# Добавляем контрольную сумму к ключу
hex_key += checksum.hex()
# Кодирование Base58
wif_key = base58.b58encode(bytes.fromhex(hex_key)).decode('utf-8')
return wif_key
# Пример использования
hex_private_key = "4BBWF74CQ25A2A00409D0B24EC0418E9A41F9B5B86216A183E0E9731F4589DC6"
wif_private_key = hex_to_wif(hex_private_key)
print(f"WIF Private Key: {wif_private_key}")
```
--------------------------------
### Extract Bitcoin Public Key Coordinates (Python)
Source: https://github.com/demining/bitcoindigger/blob/main/006_How-to-get-x-and-y-coordinates-from-a-bitcoin-public-key-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
This Python script utilizes the `ecdsa` library to extract the X and Y coordinates from an uncompressed Bitcoin public key. It parses the public key string, verifies its format, and then uses the SECP256k1 elliptic curve to compute and return both hexadecimal and decimal representations of the coordinates. The script explicitly states its limitation regarding compressed public keys.
```python
import ecdsa
from ecdsa.curves import SECP256k1
def get_coordinates(public_key):
# Установка кривой SECP256k1
curve = SECP256k1
# Загрузка открытого ключа
if public_key.startswith('04'): # Несжатый формат
public_key_bytes = bytes.fromhex(public_key[2:])
elif public_key.startswith('02') or public_key.startswith('03'): # Сжатый формат
public_key_bytes = bytes.fromhex(public_key[2:])
# Для сжатого формата нам нужно восстановить полный ключ
# Это требует дополнительных шагов, которые не поддерживаются напрямую в ecdsa
# Для простоты будем использовать только несжатый формат
print("Сжатые ключи не поддерживаются в этом примере.")
return None
else:
print("Неправильный формат открытого ключа.")
return None
# Создание объекта открытого ключа
vk = ecdsa.VerifyingKey.from_string(public_key_bytes, curve=curve)
# Получение координат X и Y
x = hex(vk.public_key.point.x)[2:] # Удаление '0x'
y = hex(vk.public_key.point.y)[2:] # Удаление '0x'
# Десятичные значения
x_dec = vk.public_key.point.x
y_dec = vk.public_key.point.y
return x, y, x_dec, y_dec
# Пример использования
public_key = "04c5389a31ce6149c28ba20d14db8540b2319e5a65000a2919fbf7a6296e7840b53f883a9483fb7f2b43f3eacd857c904d1b70ecc168571b64d8f1ab82b57eea88"
coords = get_coordinates(public_key)
if coords:
x_hex, y_hex, x_dec, y_dec = coords
print(f"Координаты X (шестнадцатеричный): {x_hex}")
print(f"Координаты Y (шестнадцатеричный): {y_hex}")
print(f"Координаты X (десятичный): {x_dec}")
print(f"Координаты Y (десятичный): {y_dec}")
```
--------------------------------
### Run BitcoinDigger Test Case
Source: https://github.com/demining/bitcoindigger/blob/main/README.md
This command executes the test script for BitcoinDigger.py, which is used to verify the functionality, particularly when the Bloom filter module is turned off.
```bash
python3 TestBitcoinDigger.py
```
--------------------------------
### Python Bloom Filter for Public Key Presence Check
Source: https://github.com/demining/bitcoindigger/blob/main/006_How-to-get-x-and-y-coordinates-from-a-bitcoin-public-key-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
This Python code implements a Bloom filter, a probabilistic data structure used for checking if an element is part of a set. It utilizes the mmh3 library for hashing. The filter can add elements and check for their probable presence, returning True if all hash bits are set, and False otherwise. It's useful for managing datasets but does not speed up cryptographic calculations.
```python
import hashlib
import mmh3
class BloomFilter:
def __init__(self, size, hash_count):
self.size = size
self.hash_count = hash_count
self.bit_array = [False] * size
def _hash(self, item, seed):
return mmh3.hash(item, seed) % self.size
def add(self, item):
for seed in range(self.hash_count):
index = self._hash(item, seed)
self.bit_array[index] = True
def check(self, item):
for seed in range(self.hash_count):
index = self._hash(item, seed)
if not self.bit_array[index]:
return False
return True
# Пример использования
bloom_filter = BloomFilter(1000, 5)
# Добавление открытых ключей в фильтр
public_keys = ["04c5389a31ce6149c28ba20d14db8540b2319e5a65000a2919fbf7a6296e7840b53f883a9483fb7f2b43f3eacd857c904d1b70ecc168571b64d8f1ab82b57eea88"]
for key in public_keys:
bloom_filter.add(key)
# Проверка наличия открытого ключа
print(bloom_filter.check(public_keys[0])) # True
print(bloom_filter.check("03anotherkey")) # False
```
--------------------------------
### Integrate BloomFilterPy with bit for Simple RawTX
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
A simple integration of BloomFilterPy with the 'bit' library to filter UTXOs and prepare a raw Bitcoin transaction. It automatically handles change addresses.
```python
from bit import Key, NetworkAPI
from bit.transaction import prepare_transaction
from pybloom import BloomFilter
# Инициализация фильтра
bloom = BloomFilter(100, 0.01)
key = Key()
bloom.add(key.address.encode())
# Фильтрация UTXO
utxos = NetworkAPI.get_unspent(key.address)
inputs = [utxo for utxo in utxos
if bloom.check(utxo['address'].encode())]
# Сборка транзакции
outputs = [('1BoatSLRHtKNngkdXEeobR76b53LETtpyT', 0.01, 'btc')]
raw_tx = prepare_transaction(
inputs=inputs,
outputs=outputs,
leftover=key.address # Автоматический change-адрес
)
print("Raw TX:", raw_tx)
```
--------------------------------
### Integrating Bloom Filter and GPU Acceleration
Source: https://github.com/demining/bitcoindigger/blob/main/010_Howto-use-secretscan-with-gpu-to-speed-up-bitcoin-wallet-private-key-mining-with-bloom-filter-algorithm/README.md
Combines CPU-based Bloom filtering with GPU acceleration for efficient Bitcoin key searching. Potential keys are first filtered by the Bloom filter on the CPU, and the remaining keys are then processed on the GPU for further verification.
```python
# Assuming generate_and_filter_keys and generate_and_check_keys_on_gpu are defined elsewhere
def secret_scan_with_bloom_and_gpu(bloom_filter):
# Generate and filter keys on CPU using Bloom filter
potential_keys = generate_and_filter_keys(bloom_filter, 1000000)
# Accelerated verification of remaining keys on GPU
checked_keys = generate_and_check_keys_on_gpu(len(potential_keys))
# Processing results
for key in checked_keys:
# Logic for processing verified keys
pass
# Assuming bloom_filter is already initialized and populated
# secret_scan_with_bloom_and_gpu(bloom_filter)
```
--------------------------------
### Python MurmurHash Implementation for Bloom Filter
Source: https://github.com/demining/bitcoindigger/blob/main/005_How-to-convert-a-public-key-to-a-bitcoin-address-to-speed-up-the-process-we-will-use-the-bloom-filter-algorithm/README.md
Demonstrates how to use the MurmurHash3 library in Python to generate multiple hash values for a given input data using different seeds. This is a common practice in Bloom filters to achieve a uniform distribution and minimize false positives.
```python
import mmh3
def murmur_hash(data, seed):
return mmh3.hash(data, seed)
# Пример использования
data = "example_data"
seeds = [1, 2, 3] # Используйте разные семена для разных хэш-функций
hash_values = [murmur_hash(data, seed) for seed in seeds]
print(hash_values)
```
--------------------------------
### GPU Acceleration with PyCUDA for Key Mining
Source: https://github.com/demining/bitcoindigger/blob/main/009_Which-nvidia-video-cards-are-used-to-find-a-private-key-to-a-bitcoin-wallet-using-the-bloom-filter-algorithm/README.md
Demonstrates the basic application of PyCUDA for accelerating GPU computations. Note that a more complex solution is required for actual private key mining.
```python
This script demonstrates the basic use of PyCUDA to accelerate GPU computations, but for real private key mining a more complex and specialized solution is needed.
```
--------------------------------
### Integrate BloomFilterPy with bitcoinlib for RawTX
Source: https://github.com/demining/bitcoindigger/blob/main/001_Creating_RawTX_Bitcoin_Transactions_Using_Bloom_Filter_in_Python/README.md
Demonstrates integrating BloomFilterPy with bitcoinlib to filter UTXOs obtained from an Electrum server and assemble a raw Bitcoin transaction. It supports BIP32 HD wallets and automatic fee calculation.
```python
from bitcoinlib.transactions import Transaction
from bitcoinlib.keys import Key
from pybloom import BloomFilter
# Инициализация Bloom фильтра
bloom = BloomFilter(capacity=1000, error_rate=0.01)
wallet_addresses = ['1A1zP...', 'bc1q...']
[bloom.add(addr.encode()) for addr in wallet_addresses]
# Фильтрация UTXO через Electrum-сервер
from bitcoinlib.services.services import Service
service = Service(network='bitcoin')
utxos = service.getutxos(wallet_addresses[0])
filtered_utxos = [utxo for utxo in utxos
if bloom.check(utxo['address'].encode())]
# Создание транзакции
tx = Transaction(network='bitcoin')
for utxo in filtered_utxos:
tx.add_input(utxo['txid'], utxo['output_n'])
tx.add_output(0.01, 'recipient_address')
# Подписание
key = Key.from_passphrase('your_wallet_passphrase')
tx.sign(key)
print("Raw TX:", tx.raw_hex())
```