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Commit 4c37f07

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added steganography tutorial
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‎README.md‎

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@@ -18,6 +18,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
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- [How to Create a Reverse Shell in Python](https://www.thepythoncode.com/article/create-reverse-shell-python). ([code](ethical-hacking/reverse_shell))
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- [How to Encrypt and Decrypt Files in Python](https://www.thepythoncode.com/article/encrypt-decrypt-files-symmetric-python). ([code](ethical-hacking/file-encryption))
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- [How to Make a Subdomain Scanner in Python](https://www.thepythoncode.com/article/make-subdomain-scanner-python). ([code](ethical-hacking/subdomain-scanner))
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- [How to use Steganography to Hide Secret Data in Images in Python](https://www.thepythoncode.com/article/hide-secret-data-in-images-using-steganography-python). ([code](ethical-hacking/steganography))
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- ### [Machine Learning](https://www.thepythoncode.com/topic/machine-learning)
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- ### [Natural Language Processing](https://www.thepythoncode.com/topic/nlp)
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‎ethical-hacking/steganography/README.md‎

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# [How to use Steganography to Hide Secret Data in Images in Python](https://www.thepythoncode.com/article/hide-secret-data-in-images-using-steganography-python)
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To run this:
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- `pip3 install -r requimements.txt`
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- To encode some data to the imag `image.PNG` and decode it right away:
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```
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python steganography image.PNG "This is some secret data."
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```
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This will write another image with data encoded in it and **outputs:**
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```
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[*] Maximum bytes to encode: 125028
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[*] Encoding data...
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[+] Decoding...
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[+] Decoded data: This is some secret data.
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```
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- You can isolate encoding and decoding processes in two different Python files, which makes more sense.
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‎ethical-hacking/steganography/encoded_image.PNG‎

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‎ethical-hacking/steganography/image.PNG‎

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‎ethical-hacking/steganography/requirements.txt‎

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opencv-python
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numpy
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‎ethical-hacking/steganography/steganography.py‎

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import cv2
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import numpy as np
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import sys
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def to_bin(data):
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"""Convert `data` to binary format as string"""
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if isinstance(data, str):
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return ''.join([ format(ord(i), "08b") for i in data ])
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elif isinstance(data, bytes) or isinstance(data, np.ndarray):
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return [ format(i, "08b") for i in data ]
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elif isinstance(data, int) or isinstance(data, np.uint8):
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return format(data, "08b")
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else:
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raise TypeError("Type not supported.")
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def encode(image_name, secret_data):
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# read the image
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image = cv2.imread(image_name)
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# maximum bytes to encode
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n_bytes = image.shape[0] * image.shape[1] * 3 // 8
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print("[*] Maximum bytes to encode:", n_bytes)
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if len(secret_data) > n_bytes:
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raise ValueError("[!] Insufficient bytes, need bigger image or less data.")
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print("[*] Encoding data...")
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# add stopping criteria
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secret_data += "====="
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data_index = 0
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# convert data to binary
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binary_secret_data = to_bin(secret_data)
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# size of data to hide
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data_len = len(binary_secret_data)
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for row in image:
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for pixel in row:
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# convert RGB values to binary format
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r, g, b = to_bin(pixel)
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# modify the least significant bit only if there is still data to store
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if data_index < data_len:
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# least significant red pixel bit
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pixel[0] = int(r[:-1] + binary_secret_data[data_index], 2)
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data_index += 1
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if data_index < data_len:
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# least significant green pixel bit
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pixel[1] = int(g[:-1] + binary_secret_data[data_index], 2)
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data_index += 1
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if data_index < data_len:
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# least significant blue pixel bit
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pixel[2] = int(b[:-1] + binary_secret_data[data_index], 2)
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data_index += 1
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# if data is encoded, just break out of the loop
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if data_index >= data_len:
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break
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return image
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def decode(image_name):
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print("[+] Decoding...")
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# read the image
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image = cv2.imread(image_name)
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binary_data = ""
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for row in image:
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for pixel in row:
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r, g, b = to_bin(pixel)
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binary_data += r[-1]
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binary_data += g[-1]
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binary_data += b[-1]
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# split by 8-bits
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all_bytes = [ binary_data[i: i+8] for i in range(0, len(binary_data), 8) ]
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# convert from bits to characters
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decoded_data = ""
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for byte in all_bytes:
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decoded_data += chr(int(byte, 2))
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if decoded_data[-5:] == "=====":
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break
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return decoded_data[:-5]
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if __name__ == "__main__":
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input_image = sys.argv[1]
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output_image = f"encoded_{input_image}"
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secret_data = sys.argv[2]
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# encode the data into the image
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encoded_image = encode(image_name=input_image, secret_data=secret_data)
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# save the output image (encoded image)
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cv2.imwrite(output_image, encoded_image)
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# decode the secret data from the image
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decoded_data = decode(output_image)
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print("[+] Decoded data:", decoded_data)

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