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## Aron Gohr's SPECK implementation.
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## https://github.com/agohr/deep_speck
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import numpy as np
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from os import urandom
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def WORD_SIZE():
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return(16);
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def ALPHA():
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return(7);
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def BETA():
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return(2);
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MASK_VAL = 2 ** WORD_SIZE() - 1;
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def shuffle_together(l):
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state = np.random.get_state();
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for x in l:
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np.random.set_state(state);
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np.random.shuffle(x);
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def rol(x,k):
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return(((x << k) & MASK_VAL) | (x >> (WORD_SIZE() - k)));
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def ror(x,k):
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return((x >> k) | ((x << (WORD_SIZE() - k)) & MASK_VAL));
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def enc_one_round(p, k):
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c0, c1 = p[0], p[1];
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c0 = ror(c0, ALPHA());
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c0 = (c0 + c1) & MASK_VAL;
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c0 = c0 ^ k;
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c1 = rol(c1, BETA());
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c1 = c1 ^ c0;
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return(c0,c1);
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def dec_one_round(c,k):
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c0, c1 = c[0], c[1];
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c1 = c1 ^ c0;
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c1 = ror(c1, BETA());
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c0 = c0 ^ k;
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c0 = (c0 - c1) & MASK_VAL;
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c0 = rol(c0, ALPHA());
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return(c0, c1);
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def expand_key(k, t):
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ks = [0 for i in range(t)];
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ks[0] = k[len(k)-1];
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l = list(reversed(k[:len(k)-1]));
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for i in range(t-1):
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l[i%3], ks[i+1] = enc_one_round((l[i%3], ks[i]), i);
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return(ks);
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def encrypt(p, ks):
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x, y = p[0], p[1];
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for k in ks:
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x,y = enc_one_round((x,y), k);
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return(x, y);
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def decrypt(c, ks):
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x, y = c[0], c[1];
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for k in reversed(ks):
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x, y = dec_one_round((x,y), k);
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return(x,y);
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def check_testvector():
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key = (0x1918,0x1110,0x0908,0x0100)
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pt = (0x6574, 0x694c)
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ks = expand_key(key, 22)
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ct = encrypt(pt, ks)
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if (ct == (0xa868, 0x42f2)):
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print("Testvector verified.")
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return(True);
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else:
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print("Testvector not verified.")
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return(False);
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#convert_to_binary takes as input an array of ciphertext pairs
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#where the first row of the array contains the lefthand side of the ciphertexts,
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#the second row contains the righthand side of the ciphertexts,
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#the third row contains the lefthand side of the second ciphertexts,
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#and so on
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#it returns an array of bit vectors containing the same data
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def convert_to_binary(arr):
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X = np.zeros((4 * WORD_SIZE(),len(arr[0])),dtype=np.uint8);
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for i in range(4 * WORD_SIZE()):
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index = i // WORD_SIZE();
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offset = WORD_SIZE() - (i % WORD_SIZE()) - 1;
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X[i] = (arr[index] >> offset) & 1;
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X = X.transpose();
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return(X);
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#takes a text file that contains encrypted block0, block1, true diff prob, real or random
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#data samples are line separated, the above items whitespace-separated
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#returns train data, ground truth, optimal ddt prediction
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def readcsv(datei):
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data = np.genfromtxt(datei, delimiter=' ', converters={x: lambda s: int(s,16) for x in range(2)});
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X0 = [data[i][0] for i in range(len(data))];
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X1 = [data[i][1] for i in range(len(data))];
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Y = [data[i][3] for i in range(len(data))];
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Z = [data[i][2] for i in range(len(data))];
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ct0a = [X0[i] >> 16 for i in range(len(data))];
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ct1a = [X0[i] & MASK_VAL for i in range(len(data))];
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ct0b = [X1[i] >> 16 for i in range(len(data))];
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ct1b = [X1[i] & MASK_VAL for i in range(len(data))];
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ct0a = np.array(ct0a, dtype=np.uint16); ct1a = np.array(ct1a,dtype=np.uint16);
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ct0b = np.array(ct0b, dtype=np.uint16); ct1b = np.array(ct1b, dtype=np.uint16);
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#X = [[X0[i] >> 16, X0[i] & 0xffff, X1[i] >> 16, X1[i] & 0xffff] for i in range(len(data))];
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X = convert_to_binary([ct0a, ct1a, ct0b, ct1b]);
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Y = np.array(Y, dtype=np.uint8); Z = np.array(Z);
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return(X,Y,Z);
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#baseline training data generator
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def make_train_data(n, nr, diff=(0x0040,0)):
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Y = np.frombuffer(urandom(n), dtype=np.uint8); Y = Y & 1;
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keys = np.frombuffer(urandom(8*n),dtype=np.uint16).reshape(4,-1);
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plain0l = np.frombuffer(urandom(2*n),dtype=np.uint16);
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plain0r = np.frombuffer(urandom(2*n),dtype=np.uint16);
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plain1l = plain0l ^ diff[0]; plain1r = plain0r ^ diff[1];
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num_rand_samples = np.sum(Y==0);
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plain1l[Y==0] = np.frombuffer(urandom(2*num_rand_samples),dtype=np.uint16);
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plain1r[Y==0] = np.frombuffer(urandom(2*num_rand_samples),dtype=np.uint16);
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ks = expand_key(keys, nr);
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ctdata0l, ctdata0r = encrypt((plain0l, plain0r), ks);
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ctdata1l, ctdata1r = encrypt((plain1l, plain1r), ks);
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X = convert_to_binary([ctdata0l, ctdata0r, ctdata1l, ctdata1r]);
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return(X,Y);
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#real differences data generator
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def real_differences_data(n, nr, diff=(0x0040,0)):
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#generate labels
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Y = np.frombuffer(urandom(n), dtype=np.uint8); Y = Y & 1;
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#generate keys
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keys = np.frombuffer(urandom(8*n),dtype=np.uint16).reshape(4,-1);
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#generate plaintexts
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plain0l = np.frombuffer(urandom(2*n),dtype=np.uint16);
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plain0r = np.frombuffer(urandom(2*n),dtype=np.uint16);
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#apply input difference
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plain1l = plain0l ^ diff[0]; plain1r = plain0r ^ diff[1];
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num_rand_samples = np.sum(Y==0);
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#expand keys and encrypt
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ks = expand_key(keys, nr);
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ctdata0l, ctdata0r = encrypt((plain0l, plain0r), ks);
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ctdata1l, ctdata1r = encrypt((plain1l, plain1r), ks);
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#generate blinding values
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k0 = np.frombuffer(urandom(2*num_rand_samples),dtype=np.uint16);
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k1 = np.frombuffer(urandom(2*num_rand_samples),dtype=np.uint16);
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#apply blinding to the samples labelled as random
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ctdata0l[Y==0] = ctdata0l[Y==0] ^ k0; ctdata0r[Y==0] = ctdata0r[Y==0] ^ k1;
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ctdata1l[Y==0] = ctdata1l[Y==0] ^ k0; ctdata1r[Y==0] = ctdata1r[Y==0] ^ k1;
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#convert to input data for neural networks
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X = convert_to_binary([ctdata0l, ctdata0r, ctdata1l, ctdata1r]);
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return(X,Y);
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Binary file not shown.
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CC=gcc
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CFLAGS=-mavx2
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all: main
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main: main.c
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$(CC) $(CFLAGS) -o main main.c
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#include <stdio.h>
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#include <string.h>
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#include <stdint.h>
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#include <xmmintrin.h>
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#include <emmintrin.h>
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#include <immintrin.h>
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#include <x86intrin.h>
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#include <stdlib.h>
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#include <time.h>
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// round of block cipher
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#define NUM_ROUND 80
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// size of plaintext and key size
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#define BLOCK_SIZE 512
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#define P_K_SIZE 2
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#define SESSION_KEY_SIZE NUM_ROUND
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// basic operation
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#define ROR(x, r) ((x >> r) | (x << (32 - r)))
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#define ROL(x, r) ((x << r) | (x >> (32 - r)))
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// example: AVX2 functions; freely remove this code and write what you want in here!
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#define INLINE inline __attribute__((always_inline))
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#define LOAD(x) _mm256_loadu_si256((__m256i *)x)
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#define STORE(x, y) _mm256_storeu_si256((__m256i *)x, y)
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#define XOR(x, y) _mm256_xor_si256(x, y)
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#define OR(x, y) _mm256_or_si256(x, y)
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#define AND(x, y) _mm256_and_si256(x, y)
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#define SHUFFLE8(x, y) _mm256_shuffle_epi8(x, y)
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#define ADD(x, y) _mm256_add_epi32(x, y)
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#define SHIFT_L(x, r) _mm256_slli_epi32(x, r)
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#define SHIFT_R(x, r) _mm256_srli_epi32(x, r)
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int64_t cpucycles(void)
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{
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unsigned int hi, lo;
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__asm__ __volatile__("rdtsc\n\t"
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: "=a"(lo), "=d"(hi));
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return ((int64_t)lo) | (((int64_t)hi) << 32);
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}
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// 64-bit data
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// 64-bit key
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// 32-bit x 22 rounds session key
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void new_key_gen(uint32_t *master_key, uint32_t *session_key)
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{
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uint32_t i = 0;
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uint32_t k1, k2, tmp;
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k1 = master_key[0];
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k2 = master_key[1];
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for (i = 0; i < NUM_ROUND; i++)
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{
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k1 = ROR(k1, 8);
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k1 = k1 + k2;
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k1 = k1 ^ i;
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k2 = ROL(k2, 3);
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k2 = k1 ^ k2;
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session_key[i] = k2;
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}
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}
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void new_block_cipher(uint32_t *input, uint32_t *session_key, uint32_t *output)
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{
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uint32_t i = 0;
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uint32_t pt1, pt2, tmp1, tmp2;
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pt1 = input[0];
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pt2 = input[1];
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for (i = 0; i < NUM_ROUND; i++)
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{
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tmp1 = ROL(pt1, 1);
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tmp2 = ROL(pt1, 8);
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tmp2 = tmp1 & tmp2;
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tmp1 = ROL(pt1, 2);
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tmp2 = tmp1 ^ tmp2;
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pt2 = pt2 ^ tmp2;
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pt2 = pt2 ^ session_key[i];
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tmp1 = pt1;
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pt1 = pt2;
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pt2 = tmp1;
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}
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output[0] = pt1;
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output[1] = pt2;
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}
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/////////////////////////
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void new_key_gen_AVX2(uint32_t *master_key, uint32_t *session_key)
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{
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// example: AVX2 codes; freely remove this code and write what you want in here!
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__m256i x0, x1, tmp;
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x0 = LOAD(master_key);
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x1 = LOAD(&master_key[8]);
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tmp = ADD(x0, x1);
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STORE(&session_key[0], tmp);
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}
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// check input_length --> multiple of 8 * 64-bit
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void new_block_cipher_AVX2(uint32_t *input, uint32_t *session_key, uint32_t *output)
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{
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// example: AVX2 codes; freely remove this code and write what you want in here!
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__m256i x0, x1, tmp;
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x0 = LOAD(input);
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x1 = LOAD(&input[8]);
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tmp = ADD(x0, x1);
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STORE(&output[0], tmp);
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}
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//////////////////////////
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int main()
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{
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long long int kcycles, ecycles, dcycles;
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long long int cycles1, cycles2;
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int32_t i, j;
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// C implementation
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uint32_t input_C[BLOCK_SIZE][P_K_SIZE] = {0,};;
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uint32_t key_C[BLOCK_SIZE][P_K_SIZE] = {0,};;
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uint32_t session_key_C[BLOCK_SIZE][SESSION_KEY_SIZE] = {0,};;
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uint32_t output_C[BLOCK_SIZE][P_K_SIZE] = {0,};;
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// AVX implementation
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uint32_t input_AVX[BLOCK_SIZE][P_K_SIZE] = {0,};;
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uint32_t key_AVX[BLOCK_SIZE][P_K_SIZE] = {0,};;
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uint32_t session_key_AVX[BLOCK_SIZE][SESSION_KEY_SIZE] = {0,};;
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uint32_t output_AVX[BLOCK_SIZE][P_K_SIZE] = {0,};;
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// random generation for plaintext and key.
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srand(0);
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for (i = 0; i < BLOCK_SIZE; i++)
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{
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for (j = 0; j < P_K_SIZE; j++)
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{
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input_AVX[i][j] = input_C[i][j] = rand();
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key_AVX[i][j] = key_C[i][j] = rand();
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}
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}
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// execution of C implementation
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kcycles = 0;
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cycles1 = cpucycles();
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for (i = 0; i < BLOCK_SIZE; i++)
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{
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new_key_gen(key_C[i], session_key_C[i]);
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new_block_cipher(input_C[i], session_key_C[i], output_C[i]);
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}
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cycles2 = cpucycles();
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kcycles = cycles2 - cycles1;
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printf("C implementation runs in ................. %8lld cycles", kcycles / BLOCK_SIZE);
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printf("\n");
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// KAT and Benchmark test of AVX implementation
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kcycles = 0;
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cycles1 = cpucycles();
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///////////////////////////////////////////////////////////////////////////////////////////
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// These functions (new_key_gen, new_block_cipher) should be replaced to "new_key_gen_AVX2" and "new_block_cipher_AVX2".
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for (i = 0; i < BLOCK_SIZE; i++)
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{
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new_key_gen(key_AVX[i], session_key_AVX[i]); // this is for
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new_block_cipher(input_AVX[i], session_key_AVX[i], output_AVX[i]); // this is for
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}
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///////////////////////////////////////////////////////////////////////////////////////////
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for (i = 0; i < BLOCK_SIZE; i++)
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{
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for (j = 0; j < P_K_SIZE; j++)
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{
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if (output_C[i][j] != output_AVX[i][j])
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{
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printf("Test failed!!!\n");
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return 0;
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}
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}
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}
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cycles2 = cpucycles();
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kcycles = cycles2 - cycles1;
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printf("AVX implementation runs in ................. %8lld cycles", kcycles / BLOCK_SIZE);
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printf("\n");
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}
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Before Width: | Height: | Size: 16 MiB After Width: | Height: | Size: 16 MiB |
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After Width: | Height: | Size: 176 KiB |
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After Width: | Height: | Size: 7.2 MiB |
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After Width: | Height: | Size: 8.1 MiB |
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After Width: | Height: | Size: 7.6 MiB |
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C̳R̳Y̳P̳T̳C̳O̳N̳T̳E̳S̳T̳
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R̳A̳N̳S̳O̳M̳W̳A̳R̳E̳
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========================================================
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[+] SORRY! Your ALL HIDDEN files are Encrypted.
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File contents are encrypted with random key (AES-256 bit; CTR mode).
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The random key was sent to me and destroyed on your computer.
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We STRONGLY RECOMMEND you NOT to use ANY DECRYPTON TOOLS.
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These tools can damage your data. making recover IMPOSSIBLE
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Also we recommand you not to contact data recovery companies
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They will just contact us, buy the key and seil it to you at a higher price.
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[+] If you want to decrypt your files, you have to get your random key.
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In order to get random key, you can contact us at the following address.
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You can inquire with your unique ID(id:#59mmk35nasd82@2023#).
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##################@#################.###########################################################
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##################@#################.###########################################################
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##################@#################.###########################################################
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import scrypt
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def enc(P):
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salt = b"contest2023"
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data = scrypt.hash(password=P, salt=salt, N=65536, r=8, p=1, buflen=48)
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KEY = data[:16]
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NONCE = data[16:32]
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AD = data[32:]
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print(data)
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return KEY, NONCE, AD
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k = enc("#59mmk35nasd82@2023#")
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for j in k:
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a = bytearray(j)
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b = ['0x'+hex(i)[2:].zfill(2) for i in a]
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print(b)
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def XORFILE(f, g, save = ""):
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with open(f, 'rb') as f:
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q = f.read()
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with open(g, 'rb') as f:
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p = f.read()
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p = bytearray(p)
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q = bytearray(q)
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r = [(p[i] ^ q[i]) for i in range(min(len(p), len(q)))]
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r = bytes(r)
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if save:
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with open(save, "wb") as f:
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||||
f.write(r)
|
||||
|
||||
return r
|
||||
|
||||
|
||||
X3 = XORFILE("3.bmp", "enc_3.bmp", "xor_3")
|
||||
X4 = XORFILE("4.png", "enc_4.png", "xor_4")
|
||||
|
||||
XORFILE("enc_5.png", "xor_4", "xor_5")
|
||||
|
||||
# print(r[0:50])
|
||||
|
||||
# with open("key", "wb") as f:
|
||||
# f.write(r)
|
||||
|
||||
# with open("key", "rb") as f:
|
||||
# s = f.read()
|
||||
|
||||
# print(s[0:59])
|
||||
|
||||
# d = b"\x94PbA\xb2Y2\xb28\xbbqu\xf6\xab$\xc7\x86)\xd0\xe9\xcd\x95\xe3<\xe1\xd8\xd2~z\xb4\xab\xb6\xf3\x03\x89\x8a\xab\xb6\x08\x14\x04\x9f\x93\xb9)\x16_\x8do\x1fS\xad3T\r\x98\xe7\x0c>"
|
||||
|
||||
# g = [d + i for i in s.split(d)]
|
||||
# print([len(i) for i in g])
|
||||
# print(g[1])
|
||||
# print(s[0:10])
|
||||
# # print(s[-430:-1])
|
||||
|
||||
# with open("head", 'wb') as f:
|
||||
# f.write(g[1])
|
||||
# with open("body", 'wb') as f:
|
||||
# f.write(key)
|
||||
# with open("foot", 'wb') as f:
|
||||
# f.write(footer)
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
Binary file not shown.
|
After Width: | Height: | Size: 7.6 MiB |
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1 @@
|
|||
Input yo5r secret message herd
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
import os
|
||||
def file(f):
|
||||
with open(f, "rb") as b:
|
||||
a = b.read()
|
||||
return a
|
||||
|
||||
content = file("")
|
||||
Binary file not shown.
|
|
@ -0,0 +1,519 @@
|
|||
ks_list = [ 0x00002ece2c66b43930344ccc943b6dc3ef0a3c41651ce5b5e0216d93708b1a1be9a3b57d58d81025d3f029fef8427f8079603df2b2b1e13e,
|
||||
0x00001409e451e93895bd3466de1494c625b7bfb7cdd08ed00bf30a44d70a7b286102f0a91764bf27b9d42f7afe15d3bda13f6bf8de693d5f,
|
||||
0x0000e79e402894cdc0cc6605a93d4fd65439ebbabc2931c710123f2b5e3dbc21c3126c70ee7658d925958b1664a903f790fca42983e89dc7,
|
||||
0x0000f263cf8edece28eebed86be64ee0a2ca1d5e0f3f2f164825d5158d630256af5190be22f9acd32759e01bb246285316eff1070465d748,
|
||||
0x0001d01df7cdb4b3e52dbd7c35eb50cae25dc26cfb5b95b7c56ba4247b73e11aa1036d94163a385be8b42f082f74b2f76f1b12127b652ad1,
|
||||
0x000138f60d198830936ce3bc1fd2fad69099254e6d4c3a3191e69374b6fbf34af1ff616fe38cfd274eb4a8176315771107497df23bc7dbcc,
|
||||
0x00013118f629b8e81aac5cb52c66cd23e0e595e84c1bcbf7ddd422cf70ce1fc7faec44bf1904c12460b451b01cf959e68104beb32eaeb717,
|
||||
0x0000c14f0e73475e1143dab220b6cdbd239327709efa6def341d6305c50ea3a3d6554332dba6eed08bd58baeeecb416774281e838b5ed810,
|
||||
0x0001f3eba2f5bfb6aea370b29bca1409f3cfdb3d8ceb86db6adbe77e112c20718828edfe4ee4ec8c4bb77fc7ff995635859779babf7ae545,
|
||||
0x000178089fab9540c5ec51278d4980c68373634443cc75f4ec294ef6e3f14d977481f3c00f279f427b9bb4dc8838c831d82bc31008f5a6c2,
|
||||
0x0000c92f0c126e900224bf0fbaa046773fdd6aaea598ab2486fcafee141eeb023a5528e9d4f5fe518486f235153c3703d114c31b422a31e3,
|
||||
0x0000c2a88976371fc62b27262be288f10194f8587def3b826c13182a40ead22a3b7d13c43d2df9728a63672acd7a2d69ff13734945d30271,
|
||||
0x000158599477346f854d98c0bcae6a323f46fa7af99ed7914f4c6eeb43e5a9c4f7c176bd0ad66e432ec8932a293da69a34527fc0be30fbe4,
|
||||
0x00006b299ef9767abc7ed99a5ace2966ffb86852d4791db32cf90ef4b82201504f48356f5d9021e3e8b6770c7432ed915223ca4f61494c0f,
|
||||
0x00003e13d565f55ee1c6e15d424087c95ee9d40eaf4d9f0b7413bb26796cd1b3ada1bb99698c99cfcb7798776841c65b4b81583eb0af6278,
|
||||
0x000033e71dceec5432f25e0d07c5695c2263b257b77f79a58afb81b7960b777d65b9c3b91cf6ad8113321a18e06a5d2bd12f5042c801f517,
|
||||
0x000109279edb99cfef94c87fac213cd3e982a26173ab2b485a0ff6822fa67f789952c74e0cadcd7ec461d622ee3a96eee8c156c87af18a3c,
|
||||
0x0000f461f8b77c4bd5e838609c9b5b3a4b6b2e6fec5d7b5967c25f342cc390cc3046d42e8deae81b1b11699b7a9c6acd9045d1d939644382,
|
||||
0x000035bb6bc803e88a74ff41237f4812925cdb699f967d80d263d94de556309f6d3d9f0f82a85fdc79acca67ab1c14923c2e41bc4c117e20,
|
||||
0x0001d606a8e956cf105a5017bd941b66e3dd2d2e10e6b6d03a436ca51159b1a7b54787bf7a1f01e2dc440c0f49ed62337b1d763133a87254,
|
||||
0x0001ba7651cc51480e73b624b986a47d85b7a86fcfeb2db1507a30c4d6d713937cbea2dfb5a09ef3a9837300e0ee1341578eb73e3c3fc960,
|
||||
0x000106d8e2aa8c21ee90f207011200e7a41d28e69f7c606473438818bb314db29bbb157e9daa9d32f081057883ea26ff2acf44cac8243b2a,
|
||||
0x00007cd9bd275dd408a27b0c179e480edd9615d4fa4a2d944f5f4967ec647329434ab2308d4b518d806ebe55caf54c0542a0cd72b0489489,
|
||||
0x0001bae9d15d0f11c7765147cc4a4d84f9a7aba4224c2124dde2bbf7cd6353ba58a6d739214e12948b7051dc4a526028538f075aad627eb0,
|
||||
0x0000c68cb04231c2b15500745e6d4c6020799cb44f3b630425b36a679806390982ffb61f99e1c7f033e9e491fa118132cc5870f6a4a94db8,
|
||||
0x0001810919469993a114a890366292e24ab74e3901f6dac6bbde387d8d11bc685ac9916a843d2d112ecf1b1e0dd2e209f4115b10b1a5c6b1,
|
||||
0x0000d68c5e2aa98744326dd6c3ee44771466c1677e68efbf33420b0d7246c3dfcd03be8a030e52d888561286a77fe2f3f3306cefe7a39555,
|
||||
0x00005ee20e3bd3770e59c98e778acdc5af96d51ae5440defea33bb619c22311a31e05fd83ca7cf853b6de84be12016bc99b02d14c9fd717c,
|
||||
0x0001e808576eed167395350e972d06dd6656a51a71edc34eb3220f050a870623917c5b7e0d0827b4dca9fdc5af699a3ff957e26e782da626,
|
||||
0x000021ea53ed193dce0b918e8f5ab19d6cefb3fd63f9dc3da44eb1b138789a5386269a2d297fe93da324bbf2c1a80a974095b3d64ee22816,
|
||||
0x000118f653eb72bd6ae4da44de9401e88634c51999c00537320cc746d97c61b26e79a2cd8c872fc52fbdceaaa3f3c5a30a30c4d160696e9e,
|
||||
0x00001646ae785ade1635a2bde04120a2be614026a45b0cf7dfc5eee2a4ff682f0a019a372ace9477851e071e8ce30b541fd8b881a5e3b5e1,
|
||||
0x0001c2cb045af425178845fc500da2e918a1e440b686686c15bcf5dfffd9070d16974b58ca0d35cbeda0f1f892b88c34f05e527d62d3f3a8,
|
||||
0x0002120384963d76bd84b6c818f7bf8a7e884b37fc55ea5866c91af50925cf0cda561e93f36f78555b7c28288e2a88b28e171f13c9c26022,
|
||||
0x0001b8f689aba2f2380980f3a86677d51b5b570d2e4617bcb8bb1f0286e7b21c7e47f3c3b4448e9a188b00ad237d990c0b79d94bee7fdb9e,
|
||||
0x00002f251320f98c4bf72f78ad62cd94892a9fb389a588600e63ecbe2d988c18f326356132991f5ebe13fa781865e5c4f1ed4060f7d9c9c5,
|
||||
0x0001b6ab1916f7694b9f359d89d3cb32282e7decc25cc3066d95e01d501b8bbc7dc2ab9fba446e11f434c4bf658beac80f10d7d7956994e4,
|
||||
0x0001e1b0e1356c3c2ebadcd1068cff213bd2cbbe8bdf6dc67b4869cdbf78aef80940654f18f990786c4fbb6318c3eb076816568b94185bef,
|
||||
0x00011b0e4b2b9ef7d02d024131ae77abda7b84df4f93ee26841693b8d769c789811999815072672cf67a845f763df14f310e061502fe528a,
|
||||
0x0000a7eb78efd214ef37316803d4614411a85be36a2ad0ca98b09331346c6ea84e53e32ed379fee017bc54184cea4096c0783c608483a24f,
|
||||
0x0000a48744783a4fdda2828562104a278fc49e81b084478b92aa3da834de3b1101ad56ad1e07d9da1e69bc16b1aa6dc371e0f431cd25e77a,
|
||||
0x000041ddf67abd6d904c093cd274ee7add19d060be4799207e2d7350dcb1f9a0f00e97a733d5ffd5146703de61b24169477d45f3209db70f,
|
||||
0x00017282d16d3321a5cc5202d56dc5948e62b0aa7061ae9caaabbc1661c2274185445634d9124306e9a406f64bf64174e7df0c00da3c3bd9,
|
||||
0x0001f6fbdf90586bdb1954c2d07460e484398eeb998216341d93a14f387b8f65dfa7922a52227b4bb7804109ee24bba8d3f0818656337e3e,
|
||||
0x0001e57c554a02dc21c5a9cb4d6572e30b6da39515b813a41882a6b7d5b11d4c52dc3959f757bcef3b642187bc942d21ef9eadb0c1d36e6f,
|
||||
0x000026a9b095b313ec25bda1e8cf1d37abde43d8417b37fe5d5b5f4d511f8b4284b5bf97f098f2b1d2d17e023497933b806f3667ff8fff3b,
|
||||
0x0000b1066581406b5ba117d0be5705393135f8a06db1568a8dc55e6960c76fa51de207d19cac9df2e4da562b4f76851521db9af018084143,
|
||||
0x0001c7690e2228e75beee525f831c23dd5cbe127c4788dc309964b85c0878ed7fc169a978cd67a692670d2476799cac3042d9b01bd8b2213,
|
||||
0x00000332fcbe53c1ccadf13fefe3bd23c3239f662d93c63f2c5fb53d80a0c6825eb2156567eb0dabbcc7cc0f81a8cd8a3f1a0a9293d8024d,
|
||||
0x00021227e97cae0828ad5636ab235dced684f1ae6d6aab226febef1bd1b4e9e5454f8438b4523b0531cdf1aeabe4162f4e494dd4ddde6519,
|
||||
0x0000e43e64d8e37f8604f55d356eb3e9ab0140988f7eed6e499ae00bec16873a473e3490483392ad0f9af48c48a58df5ced1fe41ed62bf67,
|
||||
0x000206c8b31ccb4d70817ad1b8dd591aa0ddb12e0e1ee685ff99c04804807daa40154039945f8957456ea01d8ae63fb9c7690da9de05b1bd,
|
||||
0x000167e43b84f9ad705ac370085fe9b876d449d83156a51971ded40db14ddf5b2d687dc2034a1b64f3d44ed72fa37683b80e0e33a41d00fd,
|
||||
0x000098ac4b21424bdab0f9457cc23715d801ed09bba5034c2aa8ececfd8c22ce6761da9c709dfdbaa7a9cfa1d8a8d342c5fa2b413d4144c7,
|
||||
0x0000b280298d11d9995020d56e6a464fd6e0e0d0240d54a17f39e5e28efc45c191e96109f8cf735fc585bfb8bfcfaf540eb962b039e75966,
|
||||
0x0001052b6192492807d248e557e4ac75e5902f112afa4fdbb5a4a8cefdb8b75712a96a7ab13a889c524d5c54db3037625d6ed490c9acdc21,
|
||||
0x0001dccbf7c1bfd96ef854a6300c4680f69b4b7a71c5bab62889620205e1eff62cd5c6641a9c173dd9b7e67d9f8e2d2d889de7bb5a13a54c,
|
||||
0x0001746b1e6237a56e07f061690592d3cdcdbf0ce93f93142d1640992bb122a79d2f524939b4594c18396db5fa81ba9a1ddb85eaa0bdc551,
|
||||
0x0002073c94f23b0c48ba346c0b89225e3fea43a6dd8cc0ffe2c0348014a7bf5e69f1b2502e61d3b8b3b4606de653e67f279c5390be9ccce2,
|
||||
0x0000549b97649673b3c25194a2530644d9d0cfd1dd4923f9366a266a9808f2d1b3e56f91d9f37f896a65176f9ee07f58d2bd1d1de5ba3043,
|
||||
0x00010fe149168b8bb92c2888ccc4625c1817249123b04629146cffbef26474adce5b3360ba96012c3c7b879fe768e0fd5a600c0809307997,
|
||||
0x00010fac7867d722b0b6a5fd71ecc13ce222705096aa019dc74297c18335e55b5a41fd89194fe55f6fd972537bcca01f7d26d4821c1b284e,
|
||||
0x0000180138a40deb5a535468baafc762c56cff31a1fdd50ee02333d6e7badc8019f3edb8b8428449c8f212eb83d27bc379f91471b5edbfdf,
|
||||
0x00020472abf272ea03b8cbb113776dfc1c9040dde44f93ada742306d02f3037134bbdb0d176f692356269a6375196f453b611b45371566dd,
|
||||
0x00008f447103595033192844bb6b6fd35ca6c857785d48443182a97c06d6d50d07721503dfbdd901b0ac814f9b5ec01f24d2304702500e91,
|
||||
0x0000f3f3732cb1f8aac8e79763ff91f3462b9a18e83c285dcbf1cc920cb888f95f8b9a1fe09989d5fc994e9dd9139e7e39ac76c8d7109250,
|
||||
0x000166e9dd0404216142fe3c5ebe5b2e43b026b7fedeb61d37ca12f366f53c88e21bac0c7abb96c867cd0895b9f6b26b2daa4b8cf0d93938,
|
||||
0x0000754db85b7ed8de37db8ec5086232de5f6e80a572624038d32fd4d3c181d21df94c7559798885bc9f1ee6e1a8c08ba4bc3b779e405ecd,
|
||||
0x000074d8618dadf51448920f49a5d76441f1f307d272723778c581766bacb07888223ab9cecc1c0faa3750a573c58db348d7c9574492df82,
|
||||
0x0000ebe80e5dd84a1c0acd581d2be92c61397e78333b498841da63f365b0b0ed98e09b133afda8237790ff4871704decd97b48f24ea8b1b3,
|
||||
0x0001535dd098841aa426c9d915a16f478566236e47c7a8ef91e2eb9257d98dee7ceb3606dd092122b804bdb90ba295eb48ec152a807216ab,
|
||||
0x000073fc334357777060575fd008114ef773863e0f0a2467794449a64c739dbbf7603542fa8f17792746089f643ad11e7fcc02f383729301,
|
||||
0x0000fea95c2842a7aaefda7b3776b5b7efa72d40d2328fca29d5a5e55a48b8f783fe484cb5aeae2387934d5ab3d99420c97e17fc8d7dddfc,
|
||||
0x000123796e3be4108bcbb3bdb39e3c644227258af2dcbe12f16a19f9c28e64a2b49d9d221b120694a894b482227729fa1b6918f885309cd8,
|
||||
0x000068929d1a7366d6df4df61b793bb80e408d5378d6193526cbdbb41855c17534b1e968501cd9e72f1b999401245616dd54c9a9c9e92b47,
|
||||
0x00001e0f47aca68406fca9c336539ee96866225077321ebcddd45a959bff07927fa691c2b97a50d8892570f84339d76d270bfbb134b1f363,
|
||||
0x00017af38832b278b9fe3d1be1714a76a5db6ab989d07e0502ea32cd637d85a1df7064ec17ffd3581e05fa3c2fa325ab0a6b37550be4de09,
|
||||
0x0000383a92b310a5f662e82a7bf256de6e813c3fab1893cc6b1acf38d6682760c066b29390aff736f53bf741817b2db5594ea8aa901814a6,
|
||||
0x00017c1fae05175574f05752cb614794b40d644d6f277fc4849493206ff4abed70071f65d41d248452cddb02e5d878d6f815f31285aab20b,
|
||||
0x000063d580bb1991851f951317cf1b628719dd6cc2dfb5e0fd58a2d8ace557c42fb589361a040c780544f98fd320ca838e586e465c6705b4,
|
||||
0x00004a34af85ed0a5903cc12c4a984c8b5d0fdea10e77f15129d351e93017e701927ce287f6c87a80a674e1bc298368a64777e62c45aed91,
|
||||
0x00019e019ae8091a62c50b0400683688dc32200b1fc0506321a632b5b34d4cfd01fe1a1b375e7fd82d4f47a393071b91887010201bd9dcdf,
|
||||
0x0001168ff69ceca604198212b266dc215420de8262a84136151dd60a727d71e08f96e80e802e468716aea82b3c5cba04772756b1b49191dd,
|
||||
0x0001bf94ea2bf9860c2af779c1c814933e2c04ce2bd200ec2891197ed6ed04d49796bd1dff80f9b1af707fdce4f95f5bc229b1365365f797,
|
||||
0x00019d3aca1914354b3419a958ea135956dea269ed02493d19393eac4704d22409202b845476db1d7ea01600dc0130b1def3d2426516f5c0,
|
||||
0x0000f2bd10ea091689c5b76f0e25e581244c0cd4a3ab8740281386c37c24d0a1920367ad682d8bf015f975ad5492d6aa7f1d13b4b03db50b,
|
||||
0x000003ae27ebd84dc1d4953df615ee14880e6d67be609f64b481cdcb174f4dcf67c92a1b9f8b895405f4f89140a61ef49d5f37b6f49fcde5,
|
||||
0x0000d50a074512d79dbbc8137d4ec0a17b0de3afa1f115204174f1921e2122b4c189d7e033aee2ab287511b15e2e360473adb01ef9338c37,
|
||||
0x0000b2c84c0b759612076ae33fccf624995dbb9bb11aa64070cce5180c222a26589aa556bdabf4f4aca646d7a8b2717003653a20d8269db1,
|
||||
0x000186b3d0272db3be3658f4421e0f526e3d51614bf6e915cbcb9852f74709e9ddf763450a72aa77c502b1850df689d6c324e13f3d85e06f,
|
||||
0x0001e7abd320ccf7539d7fa80f5f267355662485624ef05479c1b96555ba1235573b41edbb5ce964931a3ca7e8d7d5f9171b42e6a1c02432,
|
||||
0x000077dc97d741283da36c5d8debec58fc969e340f6fc54d5d11c95724a2a0d141a0bc04943339d4c24551c6545273ae0709833b3fde3fc5,
|
||||
0x00011944faf57e8683f12ea16b2a78885d718babaeae019d1e1a485b8c4cf8855b00f58baf8de41e5a0e2475639b38f20ca2619170162be0,
|
||||
0x0000280c99807c09ffee2b68c897a66cc7ef3b520fbc99d8aa703db2130e14e832d5d3db6b31b665f1103e0bc3f453a462ff4c8e49a43fcd,
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|
||||
0x0001136e444fbfd1e6c6d4c6cde34aad185d9bb94f959d3c32d16a19dafd5ba6426f69ae791808b2e98960dfaca1bd65b1cb224737607937,
|
||||
0x0001c86a51d69d0613f56f275762186d73c5f7d6d27ba61243191517e3dd3d19a8186d50275ba2d5abfcd622ed9ef3f478e8e0a2e6922b21,
|
||||
0x000133a3540e0850c892ef6841ceb7c3f25d503873e90c76db0414fcfcf42727a14c084dfe717c9125e5b64f0cc0d52ea34a9b749cf9a1bc,
|
||||
0x0001381972e6da65a0607fdaeef57ba53e3dfe197551f3527ad896377169817b8ab03c0f6c8b4a38221c7216d7c11f63c5f72179b9557be8,
|
||||
0x0001fba19d214d9c6048a4542d1841ed94ae4443fbaa4fc1d948d4bb2e86ab1d4769794e03c169349b843f3c1732d742d6f08538415faf28,
|
||||
0x00007272744d7c069e49e4ee10695b8af05cc07b13347aceed19f9f481e2426774b018c21992e3c5d3218e16d70c8e90d60026398c1dee60,
|
||||
0x0001ef37276484ba197268c845cf2d86b9895ee01821c183fedb1c08e5b90678510a62fa5f847defdb156585272dc546b758901a8f722983,
|
||||
0x00003bbc94609ab730d898f1507061a0a400c0350be875401d7e11ff1981813fe57d388220e4c67b372d2852b49ddeac772c4d8e3b18017d,
|
||||
0x0001d0a894215633537250c0f091d7265b1cfe08bf62af2cc28f541cefa062851f0bed8209cadbf837f0574a806d11199510264ffaa0038d,
|
||||
0x00005273566ab76deeb834b49b6d36688fe8233d4237799718fffeec2157cada14e08352e748e8b0fb18ee93a5e1ee0924b98cdcd083ca9b,
|
||||
0x000167783a6f0cfd7b7870e179a21efa0a7cab82444867eceaa0018547adf0c1ba1453638c8d0c5245199d25ebbd64ad4595378cc2cbd76d,
|
||||
0x0000b2793d0e21dbf3202feab11089a5469645726744315a2f6bb16fec9bb9f2d95671fa9ef597627b246a7019cff6b94151119f9df7fc73,
|
||||
0x00003d0a6d9690463db5f1f3e05696469baba758370dfc8e25ef65c272d4806e759a175672b15679f34baa9691ad4330fbf77016cfef6eab,
|
||||
0x0001595fd222a4ab5d081376a7dd7cc3d2447d089b39cc23b8338b3957dc75a83dc5af1c82e40849103444533357a935254ec2178fd45c30,
|
||||
0x00007dd5e6887fa96096e55b6d0525228c9f9750ce868e9e2f8a437a5973e30392a3e1f4706df5f6845301afeb14f4154959a57c65e28f00,
|
||||
0x0000932f500ae19dc826c33594a78c4ad43ae94fe80eec1da6d7692af20b2fbeb0de9a6262116eaf537fe595310ffa0c1b7fcc9454a348a7,
|
||||
0x00005b946ba3bd0d2ca44de5c6ba3611c94a41758980448af10e19d50777559d902e74bf16d4f4a5249a35e3a4f64559344f38f7fb64aca1,
|
||||
0x000172a64791fa421eb263ab0e7dced59c8241fe3f71836154feab2d415fd2e78305c67158bd6c3d42b42da4682dc31df244ed7459b157c3,
|
||||
0x00004f7397eeba4e0bd8a4a20c6a519436178c65d9c3b0db0dfc302e5d789339f9cf11eb9ef97e270a599b12879424cfc119d959e6cbd6ac,
|
||||
0x00013ba5e3809019cbb0ead65742d7cc85b1d4bdd389763650a7890aacd08b19f0adfc448f563bf2d3ffdcc4bb473f1470f17079a1fc6705,
|
||||
0x00006cf8deca4462475dd2a9c5279f45686f2d8db933ef9f568021087e2f550ddb7c3fe04469bddfe4170c58d235790c3e369e76cdd9274b,
|
||||
0x0001c3fca1c0da6d5ffa2e5fa97f137864875d258deba8008fc319ae4b674305b1579a4575a2c931dd1d0644229f8b5c1945a6893a36a3f0,
|
||||
0x0001ed9d38cd4068c67f4799d67f437870acd7870a10811e146d916a474016da729ad4e4f5d1cd4e2d92a921ef5f40c2d1e99f59c7daec3c,
|
||||
0x000175cccdf2c54b493e61aee17608e1d528af5a96610da86b42b9b41f31404d6d1e4e1e062d54477c9cbb28ba4bf66320454fddce554515,
|
||||
0x0001d5aca4058b1c6e5ec563a7eb64c8e36a81782d75f1a7b9fad74aaf239260c6fb2b027eeacf4c212a676501c754c42a0fc54c76ae1bc6,
|
||||
0x00014bf399d1769ea73cb31cd99bc2b9c21309f076236cb05419e68f5f32b0d549f7c1ae5502a6a1af40aa77a2c3c7ce42b1e41f19761d55,
|
||||
0x0001c4a008fae9a9a3413116c4914e212867af2d2c1449538c5c97b6b84e38e4f03ce284c1fb7759b1eb19869ff36f24cd2534c4ae192b53,
|
||||
0x0002104a2d274b4ad724df6e4c71b9442d9cf02cdb71a3fa9f77c274586e40a993cdad71c9a697110653ee388c0104c9582b1acb8a2f5469,
|
||||
0x0000f91ac1f7edda8c360e03646eb0433656e936538854a620932c37474196c8c83f619aeaaf7ee517212a9b9abf26cfca2b420093c72314,
|
||||
0x0000b7290f0e976a14980d7a39329086b94e56cf79aaf8a63a9cd4a12c63414272df292b351a7bcbc035ce92740030a4867daead1c33f634,
|
||||
0x0001b23dd17785ef4b49e08a7bc18d87809f10e595e026da21d2f928473d46849414bc9fa4a6e9934df17e25cc039d612ca6ec8bb32611d0,
|
||||
0x00019c8b5afc32337efc4df5f5a58dc1ae475936ab4e4cd44955f39482adea4e9f361c9e80ba6cef4e31280a459b16c84e544368daa921ee,
|
||||
0x0000a349ec4db6c92d72442f4af8117383cfee078c49490168a316a293e8b621157812da0b48460f1e97aff0dee41b352b0dfd5e44dd74b6,
|
||||
0x0000133072b23d70db674d1df40fc9a62c4c9aeafcc905f98e60719822bbacd7e46e12f5c7259ad03458a8ff3dcb3ae6b1e2c4a18fb0f6a0,
|
||||
0x00018e0fbde4f47d3fb0153b6071613d42d5632228fe80985929360e19835d8c1a94354750b16530738160a022055c91205934e717e9c134,
|
||||
0x0001fc7c38b1d43df2da894eb2ecadd469cb39dc0c4adae24c4391732048001a72210a88208c65edd5fd8f050016a5265b1196e690de5a96,
|
||||
0x0000b30c6450689857893793d1407dec40789543364d707f4ae0d81b5377990454532e58b4f9e3a3fd52fe81173020b97dc5c84f7ffa0a1d,
|
||||
0x00023373b37bc44efd429e4183c8a3b85acd33546112574ffa92a57264e83f4ee38720558bdbad740984a5b84865f5ea2ae6f62fd89058af,
|
||||
0x000227723696f5b48b9892748ad419d3719178883ca566d434355b223df86023a46399d9018d4b6077842f0f9f81d972e2c57afd91f83c2a,
|
||||
0x0000b0fa73be07406d0a4fa62b79b8cb8e53905ee765dddd67579a58d6a40282c210472ba395e0d260923a3dd1e120b5347a24424f57e6bc,
|
||||
0x0001f2ea04b8656180f0bc37ddbf7f76303449653f457ef908f98ee272eb2d4faf8c8cc6710d63645e75d8a4499ab94d90b70ca46fd306ba,
|
||||
0x000141ba696dff1864462bfbbb23a4e4bc74338a693533b230db1a197842eb19c9f692032f542f845d247356681abf8c853c81a8ad7d8906,
|
||||
0x0000247acbc30ce9e13557c054611ba64341f364ae2ae47a93c82f654b7ad192137ce6eb06209f059ea03707c205ac5ba63a82709a046fad,
|
||||
0x000167f455417d31cf0c824a6611c16f9e998d2db9ec2ffec9d53a8021edf91946295bde50d45a4cb86f9747eced3d83fa174f98e7e6b7fd,
|
||||
0x000028b1dcf52637576c1960e1246a20462b885109f732e8fbe848b44ad923f695febe67efbf22813378afc6d959eaf15c70e5b1bdc07b01,
|
||||
0x0000b9672c13472a64d52322c4e5126f4318dbf00b2353d5847c5b88b43b6c09e33f3df7ff7a07f5b530667198c30f99bb808ac7f644dcd0,
|
||||
0x0000690919088fd809b4357f71f96ef7d137b3d346a01c16a8bf327e2eb1c10f5214ace970add6cc9c489fb74d9b979a6bc9f3f15dd361fb,
|
||||
0x0001bd3cafbf0e25ae9cd6e4519abbaee74ad2aa02728637233c065f456614fd68cdd529d246f27d33ed6895fea178e5cab96a39c99eb272,
|
||||
0x0000949e5378fbbd27fb9e83503973a1986a290b40b0c10df0b209901286302c8062404ab06176810a08352c320dbf4f0360bc2a42931576,
|
||||
0x0000c950e672b0426ed24d850fd975c6fa00d08072a80d06a419333188142f0e74e79440c6ac25997be6f10eda4e65b37296507593594994,
|
||||
0x0001f8dc5701af87c2891dd5b104c3a58e043e19737606b4966322660586af84ae5d5ca749d0e219b3912edc98973d75fb36fda9cd7c2fa4,
|
||||
0x0000d7bf5903f2948c0e028a5a366991c672ed0b5f0d9def5ea879403b468025c0d0b7b9642f553292a951872e68660908cce915eefe3f98,
|
||||
0x00012981cd5a7bf39f5ee476a6471d1602ca7fa9b00a52801a6c044e9c4509c6396a5c347df0dab879343aea2f270599d4696b9914bf7ce6,
|
||||
0x00009ed2f58ad842e040f84271d4465af7dee19e94497809de2339c3c55e8a980b8d7370ff698819da61f059843d76410e759e7b9b52e992,
|
||||
0x00017576585ef25182eda31e87f06d414c5db4632874b34538c62026260b514570b76cedccd7f6c7c8743fd6ac5b32daed513de1e2c98833,
|
||||
0x0000d6d322d4167ef53b9fc1d2f962e29cb24335986767ec109a2651dc3c7c25f97f0c64d2dfe76566043f59385bdcddd5319c2a132c0cbe,
|
||||
0x0001bac945133e089b752cb281caee12cce96858528008728e033323a00695404c91dc8779d8d8a84c5fd99566962516ca600e3c13dc2e5f,
|
||||
0x000155ecb4955a17e5b3ce73726e59bea11fd1c8cb53c45667922646f95b0eb8e2cb6504eec02044c1bbb17c407edd2873d76f37ee7eac09,
|
||||
0x0001adc807607fe056ec523d5db6944df772eb05bf51b3af03895a53ff458f791ab5847159ca3921dc2c54ac8222ccd19fe5bd69a9388087,
|
||||
0x0001fe2383e7a76195090e2b41ac9d8711e4dae55950cd9117ca56867398693249de558868b799c38ebeb54efc4e867a2adc79c3e9608e70,
|
||||
0x00015459a4a01271ad6288d324b0688637809c703f21e16c41093e64d7d22f24e57dfba03f1b09fc208c17b1b66307923390589976ad3aa9,
|
||||
0x00008ab3399a5ec6250be5830571e6e30d19775566ac57be70959a2d915d37ac88170c1dc0e2baef9ec2b5cc3b63ad95ee08474d82369d0c,
|
||||
0x000002578fffc83f9294f4687034c67d36900621b02d8f1064269e13f35aae9cc3ccb50bf86a8d6c2ebe0ba20671aa50e46a5ed24de15cf6,
|
||||
0x00005a2425f73a36853fb6e88e4687195531322ed4ef5ec48d120ae0289a075494e2c7a69cc7f8b515f6cd9f37978fa02afc8eaddbcfde01,
|
||||
0x00021dbf778526cde0bdab17d912df6e3b34c5ab2986f177fa04955d80fc4f63f22931ab338c894ffe68210a94b0c89be4fef714c98264d7,
|
||||
0x0001eff79529a1ab9ccfc58a61e9e91f67e1f63bd99cce3b5d4b62204f8f5de8fbda5655135eb08e6685c844a5227f900ae428a9776fa8cf,
|
||||
0x0000ef8fecc6ec4bcef5dd7bbb9fddda784ebd85eb0af9f9902d378b6433a9d3f715d77207ce74c9631ac9220ed2f05a0fab331c43c011ce,
|
||||
0x0001c5d4a67f1b783d741a35283b75140d215bc3dff4d824a9c09f5d93f0bc6869bfe2b727dd2bf250a98dc5b12c49642408dd313ca6e443,
|
||||
0x000018a4c42651f55c790a19b1d7db7868837d7d50f06cc0258cf24254cd8bda336863f6b89704ea8526b6a90c4a6037e894ed30462b398b,
|
||||
0x00014c56836027dbf9af3e35419c530a3e10828b482b55d5fbba83377709b6a6b9e7e40f8eea792d0792b6586db5d471f36ce4de0962683a,
|
||||
0x00017857cd8673a1e256c25e24a9770b0262f2513d69ce3e91b6515328e41976192d478b3e2523f1d6bab2941e52fecabdecd610542c3902,
|
||||
0x00000627847be2e881285aeaef610e6afb59a0027fd42edf571fb67d79a7f61c1646d24940dd14fd95e2d67725ff98f45804aa03a25f9909,
|
||||
0x00021ad6676466ab7282eba056834b47e78ecd5ff3b7f3a610d00e4acbe86e05270a2c9820ac73ae4e22f8947a38f3bc409114e04c97bc9e,
|
||||
0x0001bb658b1ed5aed4fdb8bf928e09a871d98a24e4787d68f0b39cec1869c392dec2ab311b5f3c7cebea58605800f50157b36d2416a7dc88,
|
||||
0x000006a419ef0aed8f107d7dddfab1cd83df9e3e9f9a88d147be87c3598391ded79bd1eca0597bd942297a42783021e2a33628ea81cc2c77,
|
||||
0x0001ae3ddfd1c2dd7620530f5d25b01d89e04e195af6831aef853cc6c0ffd4332652bc76ccd6aea2f958f5885b77150979cff3e1fbd4fa00,
|
||||
0x0000da842a00809de207c4cf642ffd142b6c08a954bfbceba406475bec38e5052edc18a12bb69c6aca10933b25e8a94d836c64fcfc540b8f,
|
||||
0x00007b0d5dff7cf91cd8ca76cfffbf96b96450bf80ce86a6c6a8218837433e3d64f98fd3cbebc67b8e4c13a2a947ba38f9dcb873dc517fc0,
|
||||
0x0001f405fe1bed5f23c28d3d0d88174a68a2147346cd301409ca71e7095d3df5f43b06ba4722f545d303350128dd3fef823a0b164ae6680b,
|
||||
0x00021f804a5dbb389a111cd1c20516b228aa01aded2f3fdcf7371517ec19c5b35a2188c0efd7e13d385f47a5c4cb042fb1016137cba88743,
|
||||
0x00010b5f2315f47f7137707c5a023c7cfa97207d2cccae933ed01cdf82a004dd88fd58af551023633144846d2595c9e01b86ea18efdc1d98,
|
||||
0x0001736fb7972d8f9d58985fa8ce2f4e71f9f11748cc26fd8864191301fddab6df97543d0958fc6e7a21d67a0e8b0a682b0accafb52002eb,
|
||||
0x000158e3da092e60b20125dd0138c37b05330b6914b94c5342c1a568133cd4e8cec4fc741d8801fb2fae1d4c02fd02aaae208b9fdb6cc76c,
|
||||
0x0001228c3b55329f8d9955e66c7b470add0c6b87a91b5f4ff2c798edf71a2b584eb337ed663dab1baec78fa046bee277f615ac5f31c02ddd,
|
||||
0x00010e121d47d657cbdb94a50ca6ac9224ede83794c0e01d82413f064b8329a359d3f306f98d15b9cc39146bd7efea1f8106c38e875f74db,
|
||||
0x00001e6a6806bf5ca41832f9d41879506a8f5579666c8d654a7a9ce79a91462c20286865e22bac81ed0fb2124391f5979c263a657ab6f8ea,
|
||||
0x000031ea96a8cb427688f9c7d20906722e638714249a48cd6ee9bb078aad1285cfb8545454069973fe0d76f95b56de4d5d1e69b0bcd21d42,
|
||||
0x000102efabe5820c32b2c3269576b2ee1f7ec799270560009ea9c6655d4aa10856a6407f2f5283001811567137abfc4683aab5573b64cd2d,
|
||||
0x0001b945750102b975e298268dff84d2358c4b3b39b1a6361ac0f3e43c11fc2a2f3ab2dc395d45093147ea7aaeef511d552e6bedfcf5ae58,
|
||||
0x0001b964bcd705847ef7a4c5ebb497443305d544511bece8b92d884ac458bbd31f1258399baa26648fc09639477b0fcddb78a1a29a9e1ddc,
|
||||
0x00015c93a8e98e1a2fd4c60a4cd975d26c7755b611776bb1e20d4e152a09ca5cf57ae979aa4d3f38a276881f954797ac7bc7a92db39809c0,
|
||||
0x0000b8cd40e4a68de8406a185e629ca0a674ba86953f36399fb3f04b7b6b8b0c04ee7c5a42a5d691614670d904a0285e1c5a0d27e80b3e25,
|
||||
0x0000e3390f7bd49b0b80f740464cac013ff3a875703e1d7e3e0c87d3f2a2ec35cb20c90ad1acd76a975b69a51845513bfa216eab1ace8c3b,
|
||||
0x0001f26a40f5f12f75ce0e9eb6d6677310d8481e960a9389a9258708bb787442d29d9e4fe9690a42c78b31ece29740227b8c39b0ab0f2e53,
|
||||
0x00016fcfcbb67e0f30d1305063342d2738743182a021df33dbdde60739434bca9ddec4da4d104dc9193b660e15b49ab2535ea3b0f217ffb5,
|
||||
0x0001226feb8429eb39cc34067ad0c25553c6ae807b11808ce50a5f134f2d56ed196deb134c7ca26f9f2460c1a2dc70cae20edeb1f84a4302,
|
||||
0x00013d00cdd9c3dcdfe5ceb50471beb2f93f92278d016b056a22544b140e517edc97cd22a10e79128e36af3d781ee7ccf758b5b00c6c0281,
|
||||
0x0001b00298292feb49bbafe996de90bd0af777ec1aec2a2289fa44c7ecd382bac9c433381acff3bb60101895678ef731dc3030081fedf862,
|
||||
0x0000a709e74c0bb2cdf251c31a5eb4f1836e36a1a8540b76d017a6c4d43d8a01c8922b64001b525e700a4c0fe3c2424beef7964cc701cc10,
|
||||
0x00017cacb60f87cbd85ebacdd3e45250a5f376efeda2ff9bfad67bab47c9c55d1857f4ed5f94e7090d6e8dab5fcb5f3eabbdda035a58461e,
|
||||
0x0000939d3ee0e530c6ef6b25e6cb9a69d69644e38e71336b6ebe4ddd5b0d2ba80bb2251abca44c136bf61963559048eabb12b701a72882b7 ]
|
||||
|
||||
ks = []
|
||||
for i in range(0,len(ks_list),2):
|
||||
ks.append((ks_list[i], ks_list[i+1]))
|
||||
|
||||
def key():
|
||||
return ks
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
import ks
|
||||
|
||||
Psx = (0x00003CCFC5E1F050030363E6920A0F7A4C6C71E63DE63A0E6475AF621995705F7C84500CB2BB61E950E19EAB8661D25C4A50ED279646CB48, \
|
||||
0x0001AD1C1CAE7840EDDA6D8A924520F60E573D3B9DFAC6D189941CB22326D284A8816CC4249410FE80D68047D823C97D705246F869E3EA50)
|
||||
Psy = (0x0001AB066B84949582E3F66688452B9255E72A017C45B148D719D9A63CDB7BE6F48C812E33B68161D5AB3A0A36906F04A6A6957E6F4FB2E0, \
|
||||
0x0000FD87F67EA576CE97FF65BF9F4F7688C4C752DCE9F8BD2B36AD66E04249AAF8337C01E6E4E1A844267BA1A1887B433729E1DD90C7DD2F)
|
||||
Qsx = (0x0000C7461738340EFCF09CE388F666EB38F7F3AFD42DC0B664D9F461F31AA2EDC6B4AB71BD42F4D7C058E13F64B237EF7DDD2ABC0DEB0C6C, \
|
||||
0x000025DE37157F50D75D320DD0682AB4A67E471586FBC2D31AA32E6957FA2B2614C4CD40A1E27283EAAF4272AE517847197432E2D61C85F5)
|
||||
Qsy = (0x0001D407B70B01E4AEE172EDF491F4EF32144F03F5E054CEF9FDE5A35EFA3642A11817905ED0D4F193F31124264924A5F64EFE14B6EC97E5, \
|
||||
0x0000E7DEC8C32F50A4E735A839DCDB89FE0763A184C525F7B7D0EBC0E84E9D83E9AC53A572A25D19E1464B509D97272AE761657B4765B3D6)
|
||||
|
||||
Prx = (0x00008664865EA7D816F03B31E223C26D406A2C6CD0C3D667466056AAE85895EC37368BFC009DFAFCB3D97E639F65E9E45F46573B0637B7A9, 0)
|
||||
Pry = (0x00006AE515593E73976091978DFBD70BDA0DD6BCAEEBFDD4FB1E748DDD9ED3FDCF679726C67A3B2CC12B39805B32B612E058A4280764443B, 0)
|
||||
Qrx = (0x00012E84D7652558E694BF84C1FBDAAF99B83B4266C32EC65B10457BCAF94C63EB063681E8B1E7398C0B241C19B9665FDB9E1406DA3D3846, 0)
|
||||
Qry = (0, 0x0000EBAAA6C731271673BEECE467FD5ED9CC29AB564BDED7BDEAA86DD1E0FDDF399EDCC9B49C829EF53C7D7A35C3A0745D73C424FB4A5FD2)
|
||||
|
||||
E_sa = (0x0000BC39A8C22AFDCAC43EFDD3AB05B45AF0A795D823CD1EC0931D386BFDE2D477DFFFBF2C8463460DE0586510E99F24323AB8E54BD0026B, \
|
||||
0x0000045E901E3BAA12BA1A2D0A37634DEF74A6791039D723962496EB9C4C368FD50BD06BC7D7EF0B2582ADF73577537BDAA9A064C9AB0DA5)
|
||||
|
||||
p = (2**216) * (3**137) - 1
|
||||
sigs = ks.key()
|
||||
|
||||
def isE(x, y):
|
||||
return pow(y, 3, mod=p) == (pow(x,3, mod=p) + 6 * pow(x, 2, mod=p) + x)%p
|
||||
|
||||
def isEs(x, y):
|
||||
return
|
||||
|
||||
print(len(sigs))
|
||||
print(isE(sigs[0][0], sigs[0][1]))
|
||||
Loading…
Reference in New Issue