#-*- coding: utf-8 -*-
import sha3
import pyopencl as cl
import Keccak
import time
#Initialize OpenCL
platforms = cl.get_platforms()
devices = platforms[0].get_devices()
context = cl.Context(devices[:2])
queue = cl.CommandQueue(context, context.devices[0],
properties=cl.command_queue_properties.PROFILING_ENABLE)
program = cl.Program(context, open('sha3.cl').read()).build(options='')
#Parameters for SHA 512
r = 576
c = 1024
n = 512
inputlist = []
inputlist.append("a" * 1000)
start = time.time()
result = sha3.Keccak(inputlist, n, r,c, program, context, queue)
print ("Hashing Result is")
print (result)
print ("Time taken is: " + str(time.time() - start))
This is error what give script when i try run it.
Traceback (most recent call last):
File "J:/PuzzleUtils/AllInOneWithPermutation/eeeee.py", line 24, in <module>
result = sha3.Keccak(inputlist, n, r,c, program, context, queue)
File "J:/PuzzleUtils/AllInOneWithPermutation\sha3.py", line 195, in Keccak
gpu_string = cl.Buffer(context, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=host_string)
TypeError: a bytes-like object is required, not 'str'
no mater what i do. I cannot find what give this error , when i try add encode() it's give list has no attribute 'encode'
I trying rework this opencl keccak implementaion script https://github.com/kevinkeyjkw/sha3_hash_parallel
for make it work at python 3.8
from __future__ import division
import sys
import pyopencl as cl
import numpy as np
import pylab
import pdb
import time
def pad10star1(M, n):
"""Pad M with the pad10*1 padding rule to reach a length multiple of r bits
M: message pair (length in bits, string of hex characters ('9AFC...')
n: length in bits (must be a multiple of 8)
Example: pad10star1([60, 'BA594E0FB9EBBD30'],8) returns 'BA594E0FB9EBBD93'
"""
[my_string_length, my_string]=M
# Check the parameter n
if n%8!=0:
raise KeccakError.KeccakError("n must be a multiple of 8")
# Check the length of the provided string
if len(my_string)%2!=0:
#Pad with one '0' to reach correct length (don't know test
#vectors coding)
my_string=my_string+'0'
if my_string_length>(len(my_string)//2*8):
raise KeccakError.KeccakError("the string is too short to contain the number of bits announced")
nr_bytes_filled=my_string_length//8
nbr_bits_filled=my_string_length%8
l = my_string_length % n
if ((n-8) <= l <= (n-2)):
if (nbr_bits_filled == 0):
my_byte = 0
else:
my_byte=int(my_string[nr_bytes_filled*2:nr_bytes_filled*2+2],16)
my_byte=(my_byte>>(8-nbr_bits_filled))
my_byte=my_byte+2**(nbr_bits_filled)+2**7
my_byte="%02X" % my_byte
my_string=my_string[0:nr_bytes_filled*2]+my_byte
else:
if (nbr_bits_filled == 0):
my_byte = 0
else:
my_byte=int(my_string[nr_bytes_filled*2:nr_bytes_filled*2+2],16)
my_byte=(my_byte>>(8-nbr_bits_filled))
my_byte=my_byte+2**(nbr_bits_filled)
my_byte="%02X" % my_byte
my_string=my_string[0:nr_bytes_filled*2]+my_byte
while((8*len(my_string)//2)%n < (n-8)):
my_string=my_string+'00'
my_string = my_string+'80'
return my_string
def KeccakF(to_hash, iterations, curr_iter, program, context, queue):
WORDLENGTH = 64
inputnum = int(to_hash.shape[0]/5)
#Set up Round constants
RC=[0x0000000000000001,
0x0000000000008082,
0x800000000000808A,
0x8000000080008000,
0x000000000000808B,
0x0000000080000001,
0x8000000080008081,
0x8000000000008009,
0x000000000000008A,
0x0000000000000088,
0x0000000080008009,
0x000000008000000A,
0x000000008000808B,
0x800000000000008B,
0x8000000000008089,
0x8000000000008003,
0x8000000000008002,
0x8000000000000080,
0x000000000000800A,
0x800000008000000A,
0x8000000080008081,
0x8000000000008080,
0x0000000080000001,
0x8000000080008008]
round_constants = np.array([np.uint64(x) for x in RC])
round_constants_gpu = cl.Buffer(context, cl.mem_flags.READ_ONLY, 8 * len(round_constants)) #Why * 8???
cl.enqueue_copy(queue, round_constants_gpu, round_constants, is_blocking=False)
#Set up rotation offsets
rotation_offsets = np.array([0, 36, 3, 41, 18, \
1 ,44 ,10 ,45 ,2, \
62, 6 ,43 ,15 ,61, \
28, 55, 25, 21, 56, \
27, 20, 39, 8 ,14])
rotation_offsets = np.array([np.uint64(x) for x in rotation_offsets])
rotation_gpu_buffer = cl.Buffer(context, cl.mem_flags.READ_ONLY, 8 * len(rotation_offsets))
cl.enqueue_copy(queue, rotation_gpu_buffer, rotation_offsets, is_blocking=False)
stuff_to_hash = cl.Buffer(context, cl.mem_flags.READ_ONLY, to_hash.size * 8)
cl.enqueue_copy(queue, stuff_to_hash, to_hash, is_blocking=False)#is_block=True means wait for completion
#Buffer for GPU to write final hash
gpu_final_hash = cl.Buffer(context, cl.mem_flags.READ_WRITE, to_hash.size * 8)
#control the number of iterations of each hash in Keccak
gpu_iterations = cl.Buffer(context, cl.mem_flags.READ_ONLY, len(iterations)*8)
cl.enqueue_copy(queue, gpu_iterations, np.array(iterations), is_blocking=False)#is_block=True means wait for completion
gpu_curr_iter = cl.Buffer(context, cl.mem_flags.READ_ONLY, 8)
cl.enqueue_copy(queue, gpu_curr_iter, np.array(curr_iter), is_blocking=False)#is_block=True means wait for completion
#Create 5x5 workgroup, local buffer
local_size, global_size = (5, 5) , (5,5*inputnum)
local_buf_w,local_buf_h = np.uint64(5),np.uint64(5)
A = cl.LocalMemory(8*25)
B = cl.LocalMemory(8*25)
C = cl.LocalMemory(8*25)
D = cl.LocalMemory(8*25)
#Hash input
final_hash = np.zeros((5*inputnum,5))
final_hash = np.array([np.uint64(x) for x in final_hash])
hash_event = program.sha_3_hash(queue, global_size, local_size,
stuff_to_hash, gpu_final_hash,rotation_gpu_buffer,round_constants_gpu, gpu_iterations, gpu_curr_iter,
B,A, C, D, local_buf_w,local_buf_h)
cl.enqueue_copy(queue, final_hash, gpu_final_hash, is_blocking=True)
return final_hash
def Keccak(inputlist, n,r,c, program, context, queue):
inputnum = len(inputlist)
input_str = inputlist[0]
#P is a storage for the padded inputs
P = []
#Z is a storage for the output hashes
Z = []
iterations = []
#start = time.time()
### Padding Phase
for i in range(inputnum):
tmpstr = pad10star1([len(inputlist[i])*4, inputlist[i]],r)
P.append(tmpstr)
Z.append("")
iterations.append((len(tmpstr)*8//2)//r)
#print ("Time to run padding: " + str(time.time() - start))
# Initialisation of state
S = np.zeros((5*inputnum,5))
#Testing
S = np.array([np.uint64(x) for x in S])
#Initialize workgroup sizes for the gpu
local_size, global_size = (5, 5) , (5,5*inputnum)
for i in range(max(iterations)):
host_string = ""
Pi = np.zeros((5*inputnum,5))
Pi = np.array([np.uint64(x) for x in Pi])
for j in range(inputnum):
if (iterations[j] > i):
#Absorbing Phase
host_string = host_string + str(P[j][i*(2*r//8):(i+1)*(2*r//8)]+'00'*(c//8))
else:
#Dummy variables. Won't be used.
host_string = host_string + "0"*400
gpu_string = cl.Buffer(context, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=host_string)
gpu_table = cl.Buffer(context, cl.mem_flags.READ_WRITE, 25*8 * inputnum)
part_of_string = cl.LocalMemory(1*16)
program.convert_str_to_table(queue,global_size,local_size, gpu_string, gpu_table, part_of_string, np.uint64(5),np.uint64(5),np.uint64(64))
cl.enqueue_copy(queue, Pi, gpu_table, is_blocking=True)
for x in range(5*inputnum):
for y in range(5):
#print 'type S:',type(S[x][y]),'type P:',type(Pi[x][y])
if (iterations[int(x/5)] > i):
S[x][y] = S[x][y]^Pi[x][y]
S = np.array([np.uint64(x) for x in S])
#start = time.time()
S = KeccakF(S, iterations, i, program, context, queue)
#print ("Time to run KeccakF: " + str(time.time() - start))
#print (S)
#Squeezing phase
outputstring = np.chararray(400 * inputnum)
gpu_table = cl.Buffer(context, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=S)
gpu_string = cl.Buffer(context, cl.mem_flags.READ_WRITE, 144*8 * inputnum)
program.convert_table_to_str(queue,global_size,local_size,gpu_table, gpu_string,np.uint64(5),np.uint64(5),np.uint64(64))
cl.enqueue_copy(queue, outputstring, gpu_string, is_blocking=True)
string = ''.join(outputstring)
for x in range(inputnum):
Z[x] = Z[x] + string[400 * x: 400 * x + r*2//8]
for x in range(inputnum):
Z[x] = Z[x][0:2*n//8]
#output the pre-set number of bits
return Z
if __name__ == '__main__':
# List our platforms
platforms = cl.get_platforms()
# Create a context with all the devices
devices = platforms[0].get_devices()
context = cl.Context(devices[:2])
#print ('This context is associated with ', len(context.devices), 'devices')
# Create a queue for transferring data and launching computations.
# Turn on profiling to allow us to check event times.
queue = cl.CommandQueue(context, context.devices[0],
properties=cl.command_queue_properties.PROFILING_ENABLE)
#print ('The queue is using the device:', queue.device.name)
program = cl.Program(context, open('sha3.cl').read()).build(options='')
#PARAMETERS for SHA 512
r = 576
c = 1024
n = 512
inputlist = []
inputlist.append("")
inputlist.append("abcd")
inputlist.append("abcd")
inputlist.append("abcd")
inputlist.append("a" * 1000)
start = time.time()
result = Keccak(inputlist, n, r,c, program, context, queue)
print ("Hashing Result is")
print (result)
print ("Time taken is: " + str(time.time() - start))
this is functions from sha3
Try this.
The inputlist shall be converted to a bytearray.
result = sha3.Keccak(bytearray(inputlist), n, r,c, program, context, queue)
#!/usr/bin/python
import time
import random
import struct
import select
import socket
def chk(data):
x = sum(x << 8 if i % 2 else x for i, x in enumerate(data)) & 0xFFFFFFFF
x = (x >> 16) + (x & 0xFFFF)
x = (x >> 16) + (x & 0xFFFF)
return struct.pack('<H', ~x & 0xFFFF)
def ping(addr, timeout=1, number=1, data=b''):
conn = socket.socket(socket.AF_INET, socket.SOCK_RAW, socket.IPPROTO_ICMP)
payload = struct.pack('!HH', random.randrange(0, 65536), number) + data
conn.connect((addr, 80))
conn.sendall(b'\x08\0' + chk(b'\x08\0\0\0' + payload) + payload)
start = time.time()
while select.select([conn], [], [], max(0, start + timeout - time.time()))[0]:
data = conn.recv(65536)
if len(data) < 20 or len(data) < struct.unpack_from('!xxH', data)[0]:
continue
if data[20:] == b'\0\0' + chk(b'\0\0\0\0' + payload) + payload:
return time.time() - start
if __name__ == '__main__':
target = raw_input("Please enter a IP Adress: ")
print(ping(target))
I have tried to script which works for creating packet and send to icmp packet. I got the error the result of the script is shown below:
# python Pinger.py
Please enter a IP Adress: 89.1.3.2
Traceback (most recent call last):
File "Pinger.py", line 35, in <module>
print(ping(target))
File "Pinger.py", line 22, in ping
conn.sendall(b'\x08\0' + chk(b'\x08\0\0\0' + payload) + payload)
File "Pinger.py", line 11, in chk
x = sum(x << 8 if i % 2 else x for i, x in enumerate(data)) & 0xFFFFFFFF
TypeError: unsupported operand type(s) for +: 'int' and 'str'
Can you help m to resolve TypeError and Traceback?
checkout this !
data = b'\0\0\0\0'
list(enumerate(data))
>>> [(0, '\x00'), (1, '\x00'), (2, '\x00'), (3, '\x00')]
you missed here
x = sum(x << 8 if i % 2 else x for i, x in enumerate(data)) & 0xFFFFFFFF
^ << also raise TypeError ^ this is str
I guess, the reason of TypeError, function sum may use + operator.
I have a program that successfully encrypts a piece of plain text information and outputs the encrypted data as hexadecimal. i can decrypt this data on http://www.fyneworks.com/encryption/rc4-encryption/index.asp by putting in the hex data i received from my program and the key i used (in plain text)
the next step i am trying to accomplish is to have two inputs where i can input an encrypted message in hex and the encryption key (also in hex).
i'm having trouble getting the decryption part of my program to work...
If i enter the key as password and the ciphertext as 8c905b7c294a94c30422d81d552e which successfully decrypts on the website above... it doesn't work.
anyone have any ideas how i can get decryption working in RC4 with hexadecimal inputs?
# Global variables
state = [None] * 256
p = q = None
def setKey(key):
##RC4 Key Scheduling Algorithm (KSA)
global p, q, state
state = [n for n in range(256)]
p = q = j = 0
for i in range(256):
if len(key) > 0:
j = (j + state[i] + key[i % len(key)]) % 256
else:
j = (j + state[i]) % 256
state[i], state[j] = state[j], state[i]
def byteGenerator():
##RC4 Pseudo-Random Generation Algorithm (PRGA)
global p, q, state
p = (p + 1) % 256
q = (q + state[p]) % 256
state[p], state[q] = state[q], state[p]
return state[(state[p] + state[q]) % 256]
def encrypt(key,inputString):
##Encrypt input string returning a byte list
setKey(string_to_list(key))
return [ord(p) ^ byteGenerator() for p in inputString]
def decrypt(inputByteList):
##Decrypt input byte list returning a string
return "".join([chr(c ^ byteGenerator()) for c in inputByteList])
def intToList(inputNumber):
##Convert a number into a byte list
inputString = "{:02x}".format(inputNumber)
return [int(inputString[i:i + 2], 16) for i in range(0, len(inputString), 2)]
def string_to_list(inputString):
##Convert a string into a byte list
return [ord(c) for c in inputString]
key = raw_input("Enter Key: ")
ciphertext = raw_input("enter ciphertext: ")
print decrypt(intToList(ciphertext))
Here is general idea of how encryption / decryption can be done using reference implementation of RC4 for python:
def KSA(key):
keylength = len(key)
S = range(256)
j = 0
for i in range(256):
j = (j + S[i] + key[i % keylength]) % 256
S[i], S[j] = S[j], S[i] # swap
return S
def PRGA(S):
i = 0
j = 0
while True:
i = (i + 1) % 256
j = (j + S[i]) % 256
S[i], S[j] = S[j], S[i] # swap
K = S[(S[i] + S[j]) % 256]
yield K
def RC4(key):
S = KSA(key)
return PRGA(S)
if __name__ == '__main__':
# ciphertext should be 9D5AB375EC
key = 'secret'
plaintext = 'plain'
def convert_key(s):
return [ord(c) for c in s]
key = convert_key(key)
keystream = RC4(key)
ciphertext = ''.join([("%02X" % (ord(c) ^ keystream.next())) for c in plaintext])
print ciphertext
keystream = RC4(key)
def convert_ct(s):
import binascii
return [ord(ch) for ch in binascii.unhexlify(s)]
ciphertext = convert_ct(ciphertext)
plaintext = ''.join([chr(c ^ keystream.next()) for c in ciphertext])
print plaintext
With your code base it can be done like so:
import binascii
# Global variables
state = [None] * 256
p = q = None
def setKey(key):
##RC4 Key Scheduling Algorithm (KSA)
global p, q, state
state = [n for n in range(256)]
p = q = j = 0
for i in range(256):
if len(key) > 0:
j = (j + state[i] + key[i % len(key)]) % 256
else:
j = (j + state[i]) % 256
state[i], state[j] = state[j], state[i]
def byteGenerator():
##RC4 Pseudo-Random Generation Algorithm (PRGA)
global p, q, state
p = (p + 1) % 256
q = (q + state[p]) % 256
state[p], state[q] = state[q], state[p]
return state[(state[p] + state[q]) % 256]
def encrypt(key, plaintext):
##Encrypt input string returning a byte list
pt = string_to_list(plaintext)
ct = rc4(key, pt)
return list_to_string(ct, hex=True)
def decrypt(key, ciphertext):
##Decrypt input byte list returning a string
ct = string_to_list(ciphertext, hex=True)
pt = rc4(key, ct)
return list_to_string(pt, hex=False)
def string_to_list(input_srt, hex=False):
##Convert a string into an int list
if hex:
res = [ord(ch) for ch in binascii.unhexlify(input_srt)]
else:
res = [ord(ch) for ch in input_srt]
return res
def list_to_string(lst, hex=True):
##Convert an int list into a string
if hex:
res = ''.join(["%0.2X" % el for el in lst])
else:
res = ''.join([chr(el) for el in lst])
return res
def rc4(key, ints):
"""Xor list of ints with output generated by RC4. Output list of ints"""
setKey(string_to_list(key))
return [x ^ byteGenerator() for x in ints]
# key = raw_input("Enter Key: ")
# ciphertext = raw_input("enter ciphertext: ")
key = 'secret'
plaintext = 'plain'
ciphertext = encrypt(key, plaintext)
print ciphertext
print decrypt(key, ciphertext)
Decryption and encryption are basically the same procedures
I trying to use a Python script to decrypt a message. I have the cipher text (noted as FLAG in code) and most of the Python code used for encryption. I need to find the original plaintext message. Below I am trying to build a decode function into my Python code but failing (novice to Python). Can any genius help?
Here's the code so far:
import string
import random
from base64 import b64encode, b64decode
FLAG = '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'
enc_ciphers = ['rot13', 'b64e', 'caesar']
dec_ciphers = ['rot13', 'b64d', 'caesard']
def rot13(s):
_rot13 = string.maketrans(
"zyxwvutsrqponZYXWVUTSRQPONmlkjihgfedcbaMLKJIHGFEDCBA",
"mlkjihgfedcbaMLKJIHGFEDCBAzyxwvutsrqponZYXWVUTSRQPON")
return string.translate(s, _rot13)
def b64e(s):
return b64encode(s)
def b64d(s):
return b64decode(s)
def caesar(plaintext, shift=4):
alphabet = string.ascii_lowercase
shifted_alphabet = alphabet[shift:] + alphabet[:shift]
table = string.maketrans(alphabet, shifted_alphabet)
return plaintext.translate(table)
def caesard(plaintext, shift=-4):
alphabet = string.ascii_lowercase
shifted_alphabet = alphabet[shift:] + alphabet[:shift]
table = string.maketrans(alphabet, shifted_alphabet)
return plaintext.translate(table)
def encode(pt, cnt=50):
tmp = '2{}'.format(b64encode(pt)) #2.format(b64encode(pt))
for cnt in xrange(cnt):
c = random.choice(enc_ciphers) # choose some enc_cipher
i = enc_ciphers.index(c) + 1 # position in the array + 1
_tmp = globals()[c](tmp)
tmp = '{}{}'.format(i, _tmp)
return tmp
def decode(tmp, cnt=50):
for cnt in xrange(cnt):
i = int(tmp[:1])-1
_tmp = tmp[1:]
c = dec_ciphers[i]
tmp = globals()[c](_tmp)
try:
s = b64decode(tmp[1:])
if s.find("flag") != -1:
return s
except:
pass
return b64decode(tmp[1:])
if __name__ == '__main__':
cnt=70
print "Cnt: %d" % cnt
print decode(FLAG, cnt)
Here is the error message:
/usr/bin/python -u "/media/pc/A8560F93560F6204/Python investigation/transfer_csaw2015 fully MODDED2.py"
Cnt: 70
Traceback (most recent call last):
File "/media/pc/A8560F93560F6204/Python investigation/transfer_csaw2015 fully MODDED2.py", line 64, in <module>
print decode(FLAG, cnt)
File "/media/pc/A8560F93560F6204/Python investigation/transfer_csaw2015 fully MODDED2.py", line 47, in decode
i = int(tmp[:1])-1
ValueError: invalid literal for int() with base 10: 'W'