Pixel_Decoder script added issue no. UTSAVS26#198

Cybersecurity_Tools/Pixel_Decoder/pixel_decoder.py

@@ -0,0 +1,45 @@
+import random
+import numpy
+from PIL import Image
+
+def derandomize(img, seed, original_shape):
+    random.seed(seed)
+
+    # Recreate the shuffled indices for both x and y
+    new_y = list(range(original_shape[0]))
+    new_x = list(range(original_shape[1]))
+    random.shuffle(new_y)
+    random.shuffle(new_x)
+
+    # Create an empty array to store the reconstructed image
+    reconstructed = numpy.empty_like(img)
+
+    # Reverse the shuffling by mapping randomized positions back to the original positions
+    for i, y in enumerate(new_y):
+        for j, x in enumerate(new_x):
+            reconstructed[y][x] = img[i][j]
+
+    return numpy.array(reconstructed)
+
+if __name__ == "__main__":
+    # Open the scrambled (encrypted) image
+    scrambled_img = Image.open("encrypted.png")
+    scrambled_array = numpy.array(scrambled_img)
+
+    original_shape = scrambled_array.shape
+
+    # Define a range of potential seed values (assuming timestamp or a fixed range)
+    start_seed = int(input("Enter the starting seed to brute-force: "))
+    end_seed = int(input("Enter the ending seed to brute-force: "))
+
+    for seed in range(start_seed, end_seed):
+        reconstructed_img = derandomize(scrambled_array, seed, original_shape)
+
+        # Save the reconstructed image
+        image = Image.fromarray(reconstructed_img)
+        image.save(f"decrypted_{seed}.png")
+
+        # Optionally, display the reconstructed image to see if it's correct
+        image.show()
+        print(f"Tried seed: {seed}")
+