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Commit4c37f07

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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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#[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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opencv-python
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numpy
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importcv2
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importnumpyasnp
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importsys
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defto_bin(data):
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"""Convert `data` to binary format as string"""
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ifisinstance(data,str):
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return''.join([format(ord(i),"08b")foriindata ])
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elifisinstance(data,bytes)orisinstance(data,np.ndarray):
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return [format(i,"08b")foriindata ]
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elifisinstance(data,int)orisinstance(data,np.uint8):
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returnformat(data,"08b")
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else:
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raiseTypeError("Type not supported.")
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defencode(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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iflen(secret_data)>n_bytes:
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raiseValueError("[!] 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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forrowinimage:
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forpixelinrow:
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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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ifdata_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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ifdata_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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ifdata_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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ifdata_index>=data_len:
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break
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returnimage
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defdecode(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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forrowinimage:
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forpixelinrow:
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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]foriinrange(0,len(binary_data),8) ]
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# convert from bits to characters
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decoded_data=""
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forbyteinall_bytes:
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decoded_data+=chr(int(byte,2))
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ifdecoded_data[-5:]=="=====":
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break
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returndecoded_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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