mikeecb

hex_str = "49276d206b696c6c696e6720796f757220627261696e206c696b65206120706f69736f6e6f7573206d757368726f6f6d"
decoded = hex_str.decode("hex")
# I'm killing your brain like a poisonous mushroom
base64_str = decoded.encode("base64")
# SSdtIGtpbGxpbmcgeW91ciBicmFpbiBsaWtlIGEgcG9pc29ub3VzIG11c2hyb29t\n

mikeecb

def xor(b1, b2):
  b = bytearray(len(b1))
  for i in range(len(b1)):
    b[i] = b1[i] ^ b2[i]
  return b
  
b1 = bytearray.fromhex("1c0111001f010100061a024b53535009181c")
b2 = bytearray.fromhex("686974207468652062756c6c277320657965")

b = bytes(xor(b1, b2))

mikeecb

def xor(b1, b2):
    b = bytearray(len(b1))
    for i in range(len(b1)):
        b[i] = b1[i] ^ b2[i]
    return b

def score(s):
    freq = {}
    freq[' '] = 700000000
    freq['e'] = 390395169

mikeecb

def score(s):
    freq = {}
    freq[' '] = 700000000
    freq['e'] = 390395169
    freq['t'] = 282039486
    freq['a'] = 248362256
    freq['o'] = 235661502
    # ...
    freq['z'] = 2456495
    score = 0

mikeecb

def xor(b1, b2):
  b = bytearray(len(b1))
  for i in range(len(b1)):
    b[i] = b1[i] ^ b2[i]
  return b

def score(s):
    freq = {}
    freq[' '] = 700000000
    freq['e'] = 390395169

mikeecb

max_score = None
english_plaintext = None
key = None

for line in open("4.txt", "r"):
    line = line.rstrip()

    b1 = bytearray.fromhex(line)

    for i in range(256):

mikeecb

lines = [
    "Burning 'em, if you ain't quick and nimble\n",
    "I go crazy when I hear a cymbal",
]

text = "".join(lines)
key = bytearray("ICE" * len(text))
plaintext = bytes(xor(bytearray(text), key))
plaintext.encode("hex")
# 0b3637272a2b2e63622c2e69692a23693a2a3c6324202d623d63343c2a26226324272765272a282b2f20430a652e2c652a3124333a653e2b2027630c692b20283165286326302e27282f

mikeecb

def xor(b1, b2):
  b = bytearray(len(b1))
  for i in range(len(b1)):
    b[i] = b1[i] ^ b2[i]
  return b

lines = [
    "Burning 'em, if you ain't quick and nimble\n",
    "I go crazy when I hear a cymbal",
]

mikeecb

def hamming_distance(enc_str1, enc_str2):
    differing_bits = 0
    for byte in xor(b1, b2):
        differing_bits += bin(byte).count("1")
    return differing_bits

b1 = bytearray("this is a test")
b2 = bytearray("wokka wokka!!!")

hamming_distance(b1, b2)

mikeecb

b = bytearray("".join(list(open("6.txt", "r"))).decode("base64"))

normalized_distances = []
for KEYSIZE in range(2, 40):
    b1 = b[:KEYSIZE]
    b2 = b[KEYSIZE:KEYSIZE*2]
    b3 = b[KEYSIZE*2:KEYSIZE*3]
    b4 = b[KEYSIZE*3:KEYSIZE*4]

    normalized_distance = float(