juju.re/jujure/static/brachiosaure/solve_writeup.py
Julien CLEMENT 532f34c6ab add brachiosaure wu
Signed-off-by: Julien CLEMENT <julien.clement@epita.fr>
2023-05-01 12:28:41 +02:00

193 lines
4.3 KiB
Python
Executable File

#!/usr/bin/env python3
import hashlib
import qrcode
from PIL import Image
import numpy as np
import requests
def get_user():
r = requests.get("https://brachiosaure.france-cybersecurity-challenge.fr/")
name = r.text.split("text-warning\">")[1].split('<')[0]
return name
def get_digest(name):
m = hashlib.sha512()
m.update(name.encode())
digest = m.digest()
return digest
def linearize_serial(matrix_serial):
serial = bytearray()
for line in matrix_serial:
for b in line:
serial.append(b % 256)
return bytes(serial)
def img_to_matrix(img):
array = list(img.getdata())
width, height = img.size
matrix_img = [[array[i * width + j] for j in range(width)] for i in range(height)]
return matrix_img
def matrix_to_img(mat, path):
array = np.uint8(mat)
img = Image.fromarray(array)
img.save(path)
def gen_qrcode(data, path):
qr = qrcode.QRCode(version = 1, box_size = 2, border = 2)
qr.add_data(data)
qr.make()
qr_usr = qr.make_image()
qr_usr.save(path)
def identitymatrix(n):
return [[int(x == y) for x in range(0, n)] for y in range(0, n)]
def get_flag(name):
files = {
"upload1": open(f"{name}_usr.png", "rb"),
"upload2": open(f"{name}_serial.png", "rb")
}
r = requests.post("https://brachiosaure.france-cybersecurity-challenge.fr/login", files=files)
for line in r.text.split('\n'):
if "FCSC{" in line:
print(line)
name = get_user()
digest = get_digest(name)
matrix_usr = [[digest[i * 8 + j] for j in range(8)] for i in range(8)]
matrix_usr = np.array(matrix_usr)
matrix_serial = np.dot(matrix_usr, matrix_usr)
serial = linearize_serial(matrix_serial)
gen_qrcode(digest, "user.png")
gen_qrcode(serial, "serial.png")
img_usr = Image.open("./user.png", "r")
img_serial = Image.open("./serial.png", "r")
matrix_img_usr = img_to_matrix(img_usr)
matrix_img_serial = img_to_matrix(img_serial)
def invert(usr, serial):
# Add empty and identity matrices to maka it invetible
usr = make_invertible(usr)
serial = make_invertible(serial)
n = len(usr)
# Total size after redimensionning
new_n = n * 2
# The magic inversion by swapping corners and computing matrix opposite
usr_inv = invert_magic(usr)
serial_inv = invert_magic(serial)
# Will hold the final user png
new_usr = []
# Will hold the final serial png
new_serial = []
# Create the new_usr
for i in range(new_n):
line = [0] * new_n
if i < n:
for j in range(n):
line[j] = usr[i][j]
if i >= n:
for j in range(n):
line[j + n] = int(serial_inv[i - n][j])
new_usr.append(line)
# Create the new_serial
for i in range(new_n):
line = [0] * new_n
if i < n:
for j in range(n):
line[j] = int(usr_inv[i][j])
if i >= n:
for j in range(n):
line[j + n] = serial[i - n][j]
new_serial.append(line)
return new_usr, new_serial
def make_invertible(mat):
res = []
n = len(mat)
ident = identitymatrix(n)
# Add the identity matrix below the original
for line in ident:
mat.append(line)
for i in range(len(mat)):
line = mat[i]
for j in range(n):
# Add the identity matrix at the right of the original
if i < n:
line.append(ident[i][j])
# Add the empty matrix at the bottom right corner
else:
line.append(0)
return mat
def invert_magic(mat):
n_tot = len(mat)
n = n_tot // 2
#Create a new empty matrix to hold the result
res = [[0 for _ in range(n)] for _ in range(n)]
ident = identitymatrix(n)
# Add the identity matrix below
for line in ident:
res.append(line)
for i in range(len(mat)):
line = res[i]
for j in range(n):
# Identity matrix on the right
if i < n:
line.append(ident[i][j])
# Oposite of the original in the bottom right corner
else:
el = -mat[i - n][j] % 256
line.append(el)
return res
res_usr, res_serial = invert(matrix_img_usr, matrix_img_serial)
matrix_to_img(res_usr, f"{name}_usr.png")
matrix_to_img(res_serial, f"{name}_serial.png")
get_flag(name)