a python script with permutation that validates checksum with gpu attribution can solve it in matter of hours
thank you
I’ve been working on Bitcoin Puzzles for the last five years, and if it were as simple as permuting a partial WIF (Wallet Import Format) key and validating checksums with GPU acceleration, it would have been solved long ago. Even if you're working with a partial key and permuting a smaller subset, the remaining entropy is still enormous. GPUs are fast, but not 'solve it in hours' fast for this scale.
The WIF checksum (last 4 bytes of the Base58Check encoding) is just a 32-bit verification. While this narrows down candidates, there are still millions of false positives that pass the checksum but don’t correspond to the actual private key. You’d need to check each one against the puzzle address, which requires full SHA-256 and RIPEMD-160 hashing. A much slower process.
Even if you know almost all of WIF, it is not easy. Here is an example with 12 missing characters:
import sys
import os
import time
import multiprocessing
from multiprocessing import cpu_count, Event, Value, Process
import numpy as np
from numba import njit, prange
import secp256k1 as ice
# Configuration
puzzle = 68
min_range = 2 ** (puzzle - 1) - 1
max_range = 2 ** puzzle - 1
START_WIF = "KwDiBf89QgGbjEhKnhXJuH7LrciVrZi3qd7sDG4F"
MISSING_CHARS = 52 - len(START_WIF)
TARGET_HEX = "e0b8a2baee1b77fc703455f39d51477451fc8cfc"
TARGET_BINARY = bytes.fromhex(TARGET_HEX)
BATCH_SIZE = 60000
# Global variables
STOP_EVENT = Event()
KEY_COUNTER = Value('q', 0)
START_TIME = Value('d', 0.0)
CHARS = np.frombuffer(
b"123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz",
dtype=np.uint8
)
START_BYTES = START_WIF.encode('ascii') # Precompute this
@njit(cache=True, parallel=True)
def numba_generate_batch(start_bytes, miss, batch_size, chars):
results = np.empty((batch_size, len(start_bytes) + miss), dtype=np.uint8)
char_len = len(chars)
for i in prange(batch_size):
# Copy the fixed prefix
results[i, :len(start_bytes)] = start_bytes
# Generate random suffix with indices within bounds
for j in range(miss):
results[i, len(start_bytes)+j] = np.random.randint(0, char_len)
return results
def generate_batch(batch_size):
indices = numba_generate_batch(
np.frombuffer(START_BYTES, dtype=np.uint8),
MISSING_CHARS,
batch_size,
CHARS
)
return [START_BYTES + CHARS[indices[i, -MISSING_CHARS:]].tobytes()
for i in range(batch_size)]
def check_private_key_batch(target_binary):
local_counter = 0
while not STOP_EVENT.is_set():
# Generate a batch of keys
wif_batch = generate_batch(BATCH_SIZE)
local_counter += BATCH_SIZE
# Update global counter
with KEY_COUNTER.get_lock():
KEY_COUNTER.value += BATCH_SIZE
# Process the batch
for wif_bytes in wif_batch:
if STOP_EVENT.is_set():
break
try:
private_key_hex = ice.btc_wif_to_pvk_hex(wif_bytes.decode('ascii'))
dec = int(private_key_hex, 16)
if min_range <= dec <= max_range:
ripemd160_hash = ice.privatekey_to_h160(0, True, dec)
if ripemd160_hash == target_binary:
handle_success(dec)
return
except:
continue
# Add any remaining keys if we were interrupted
with KEY_COUNTER.get_lock():
KEY_COUNTER.value += local_counter % BATCH_SIZE
def handle_success(dec):
t = time.ctime()
wif_compressed = ice.btc_pvk_to_wif(dec)
elapsed = time.time() - START_TIME.value
with open('winner.txt', 'a') as f:
f.write(f"\n\nMatch Found: {t}")
f.write(f"\nPrivatekey (dec): {dec}")
f.write(f"\nPrivatekey (hex): {hex(dec)[2:]}")
f.write(f"\nPrivatekey (wif): {wif_compressed}")
f.write(f"\nTotal keys checked: {KEY_COUNTER.value:,}")
f.write(f"\nAverage speed: {KEY_COUNTER.value/elapsed:,.0f} keys/sec")
STOP_EVENT.set()
print(f"\n\033[01;33m[+] BINGO!!! {t}\n")
if __name__ == '__main__':
os.system("clear")
print(f"\033[01;33m[+] {time.ctime()}")
print(f"[+] Missing chars: {MISSING_CHARS}")
print(f"[+] Target: {TARGET_HEX}")
print(f"[+] Starting WIF: {START_WIF}")
print(f"[+] Cores: {cpu_count()}")
# Initialize START_TIME
START_TIME.value = time.time()
try:
os.nice(-15)
import psutil
p = psutil.Process()
p.cpu_affinity(list(range(cpu_count())))
except:
pass
workers = []
for _ in range(cpu_count()):
p = Process(target=check_private_key_batch, args=(TARGET_BINARY,))
p.start()
workers.append(p)
try:
while not STOP_EVENT.is_set():
time.sleep(1)
current_count = KEY_COUNTER.value
elapsed = max(time.time() - START_TIME.value, 0.0001)
speed = current_count / elapsed
sys.stdout.write(f"\r[+] Speed: {speed:,.0f} keys/sec | Total: {current_count:,} keys")
sys.stdout.flush()
except KeyboardInterrupt:
STOP_EVENT.set()
print("\n[!] Stopping workers...")
for p in workers:
p.join()
print(f"\nSearch completed. Final count: {KEY_COUNTER.value:,} keys")
https://github.com/AlexanderKud/WIF-CrackerAnything more than 12 characters is uncertain to be solved. Above 15 is impossible.
