Hunt for Bitcoin private keys.
This is a experimental project & right now going through a lot of changes, so bugs and errors can appears.
This is a modified version of VanitySearch by JeanLucPons.
To convert Bitcoin legacy addresses to RIPEMD160 hasehs, you can use this b58dec.
It is important to binary sort the RIPEMD160 file before giving it to the program, otherwise binary search function would not work properly. To do this work you can use this RMD160-Sort.
A lot of gratitude to all the developers whose codes has been used here.
- Renamed from VanitySearch to KeyHunt (inspired from keyhunt by albertobsd).
- It searches for RIPEMD160 hashes of the addresses in the given file.
- It supports both CPU and Cuda devices as the original VanitySearch does.
- It uses bloom filter for huge addresses matching, but as you know bloom filter gives false-positive results so we need to verify these results with actual binary data. To verifying bloom results it uses binary search function from keyhunt by albertobsd.
- Because binary search requires the whole RIPEMD160 file in the memory so it keeps this file data in the system memory and transfers bloom data only to GPU memory, and binary checking for false-positive results is done on CPU. This way we can load a very large RIPEMD160 binary file.
- Search compressed and un-compressed address only.
- For args parsing it uses argparse by jamolnng)
- Save current state to work file and continue from it.
- Decrement from end range to start range.
- Stop on range completion.
- More friendly command line arguments.
- Completely random mode in specified range.
- Completely random mode in whole 256 bit range.
- Sequential random mode in specified range.
- Add changelog.
CPU and GPU can not be used together, because right now the program divides the whole input range into equal parts for all the threads, so use either CPU or GPU so that the whole range can increment by all the threads with consistency.
Minimum address should be more than 1000.
KeyHunt-Cuda.exe -h
Usage: KeyHunt-Cuda [options...]
Options:
-v, --version Print version
-c, --check Check the working of the codes
-u, --uncomp Search uncompressed addresses
-b, --both Search both uncompressed or compressed addresses
-g, --gpu Enable GPU calculation
-i, --gpui GPU ids: 0,1...: List of GPU(s) to use, default is 0
-x, --gpux GPU gridsize: g0x,g0y,g1x,g1y, ...: Specify GPU(s) kernel gridsize, default is 8*(Device MP count),128
-o, --out Outputfile: Output results to the specified file, default: Found.txt
-m, --max Specify maximun number of addresses found by each kernel call
-t, --thread threadNumber: Specify number of CPU thread, default is number of core
-l, --list List cuda enabled devices
-f, --file Ripemd160 binary hash file path
-a, --addr P2PKH Address (single address mode)
-s, --start Range start in hex
-e, --end Range end in hex, if not provided then, endRange would be: startRange + 10000000000000000
-h, --help Shows this page
CPU mode:
KeyHunt-Cuda.exe -t 4 -s 10 -f address1-160-sorted.bin
KeyHunt-Cuda v1.04
MODE : COMPRESSED
DEVICE : CPU
CPU THREAD : 4
GPU IDS : 0
GPU GRIDSIZE : -1x128 (grid size will be calculated automatically based on multiprocessor number on GPU device)
SSE : YES
MAX FOUND : 65536
HASH160 FILE : address1-160-sorted.bin
OUTPUT FILE : Found.txt
Loading : 100 %
Loaded : 73,446 address
Bloom at 000002A37A33D030
Version : 2.1
Entries : 146892
Error : 0.0000010000
Bits : 4223905
Bits/Elem : 28.755175
Bytes : 527989 (0 MB)
Hash funcs : 20
Start Time : Tue Mar 30 13:23:12 2021
Global start : 0000000000000000000000000000000000000000000000000000000000000010 (5 bit)
Global end : 000000000000000000000000000000000000000000000000002386F26FC10010 (54 bit)
CPU Thread 00: 0000000000000000000000000000000000000000000000000000000000000010 : 0000000000000000000000000000000000000000000000000008E1BC9BF04010
CPU Thread 01: 0000000000000000000000000000000000000000000000000008E1BC9BF04010 : 0000000000000000000000000000000000000000000000000011C37937E08010
CPU Thread 02: 0000000000000000000000000000000000000000000000000011C37937E08010 : 000000000000000000000000000000000000000000000000001AA535D3D0C010
.
CPU Thread 03: 000000000000000000000000000000000000000000000000001AA535D3D0C010 : 000000000000000000000000000000000000000000000000002386F26FC10010
[00:00:06] [CPU+GPU: 7.17 Mk/s] [GPU: 0.00 Mk/s] [T: 43,671,552] [F: 18]
BYE
GPU mode:
KeyHunt-Cuda.exe -t 0 -g -i 0 -x 256,128 -s 1 -f address1-160-sorted.bin
KeyHunt-Cuda v1.04
MODE : COMPRESSED
DEVICE : GPU
CPU THREAD : 0
GPU IDS : 0
GPU GRIDSIZE : 256x128
SSE : YES
MAX FOUND : 65536
HASH160 FILE : address1-160-sorted.bin
OUTPUT FILE : Found.txt
Loading : 100 %
Loaded : 73,446 address
Bloom at 000001B2EAC6F2C0
Version : 2.1
Entries : 146892
Error : 0.0000010000
Bits : 4223905
Bits/Elem : 28.755175
Bytes : 527989 (0 MB)
Hash funcs : 20
Start Time : Tue Mar 30 13:30:40 2021
Global start : 0000000000000000000000000000000000000000000000000000000000000001 (1 bit)
Global end : 000000000000000000000000000000000000000000000000002386F26FC10001 (54 bit)
GPU : GPU #0 GeForce GTX 1650 (14x64 cores) Grid(256x128)
GPU 0 Thread 000000: 0000000000000000000000000000000000000000000000000000000000000001 : 000000000000000000000000000000000000000000000000000000470DE4DF83
GPU 0 Thread 000001: 000000000000000000000000000000000000000000000000000000470DE4DF83 : 0000000000000000000000000000000000000000000000000000008E1BC9BF05
GPU 0 Thread 000002: 0000000000000000000000000000000000000000000000000000008E1BC9BF05 : 000000000000000000000000000000000000000000000000000000D529AE9E87
.
GPU 0 Thread 032767: 000000000000000000000000000000000000000000000000002386AB61DC207F : 000000000000000000000000000000000000000000000000002386F26FC10001
[00:00:04] [CPU+GPU: 495.66 Mk/s] [GPU: 495.66 Mk/s] [T: 2,013,265,920] [F: 14]
BYE
Single address mode:
KeyHunt-Cuda.exe -t 0 -g -i 0 -x 256,128 -s d851eb851eb851e6 -a 1LoTPWZc1W2YvFf9Kc8c5ZvCskmVNrZj6K
KeyHunt-Cuda v1.05
MODE : COMPRESSED
DEVICE : GPU
CPU THREAD : 0
GPU IDS : 0
GPU GRIDSIZE : 256x128
SSE : YES
MAX FOUND : 65536
ADDRESS : 1LoTPWZc1W2YvFf9Kc8c5ZvCskmVNrZj6K (single address mode)
OUTPUT FILE : Found.txt
Start Time : Wed Mar 31 03:15:49 2021
Global start : 000000000000000000000000000000000000000000000000D851EB851EB851E6 (64 bit)
Global end : 000000000000000000000000000000000000000000000000D87572778E7951E6 (64 bit)
GPU : GPU #0 GeForce GTX 1650 (14x64 cores) Grid(256x128)
GPU 0 Thread 000000: 000000000000000000000000000000000000000000000000D851EB851EB851E6 : 000000000000000000000000000000000000000000000000D851EBCC2C9D3168
GPU 0 Thread 000001: 000000000000000000000000000000000000000000000000D851EBCC2C9D3168 : 000000000000000000000000000000000000000000000000D851EC133A8210EA
GPU 0 Thread 000002: 000000000000000000000000000000000000000000000000D851EC133A8210EA : 000000000000000000000000000000000000000000000000D851EC5A4866F06C
.
GPU 0 Thread 032767: 000000000000000000000000000000000000000000000000D875723080947264 : 000000000000000000000000000000000000000000000000D87572778E7951E6
[00:00:12] [CPU+GPU: 608.94 Mk/s] [GPU: 608.94 Mk/s] [T: 7,449,083,904] [F: 1]
BYE
- Microsoft Visual Studio Community 2019
- CUDA version 10.0
-
Edit the makefile and set up the appropriate CUDA SDK and compiler paths for nvcc. Or pass them as variables to
makecommand.CUDA = /usr/local/cuda-11.0 CXXCUDA = /usr/bin/g++
-
To build CPU-only version (without CUDA support):
$ make all
-
To build with CUDA:
$ make gpu=1 CCAP=35 all
KeyHunt-Cuda is licensed under GPLv3.
ALL THE CODES, PROGRAM AND INFORMATION ARE FOR EDUCATIONAL PURPOSES ONLY. USE IT AT YOUR OWN RISK. THE DEVELOPER WILL NOT BE RESPONSIBLE FOR ANY LOSS, DAMAGE OR CLAIM ARISING FROM USING THIS PROGRAM.