SheleftmeCipher: Steganography with Invisible Unicode Characters 💔

This project demonstrates how to use invisible Unicode characters to perform steganography. You can encode hidden messages into cover text using zero-width spaces and zero-width non-joiners, and decode them back. The application is built using Streamlit for a user-friendly interface.

Project Structure

SheleftmeCipher.py: Contains the Sheleftme class with methods for encoding, decoding, embedding, and extracting messages.
app.py: Contains the SheleftmeApp class and runs the Streamlit application.

Installation

Clone the repository
Install the required packages:
```
pip install streamlit
```

Usage

Run the Streamlit application:
```
streamlit run app.py
```
Open your web browser and navigate to the URL provided by Streamlit (usually http://localhost:8501).
Use the interface to encode or decode messages:
- Encode: Select "Encode" from the operation dropdown, provide the message and masking text, and click "Execute". The encoded message will be displayed, and you can copy it to the clipboard.
- Decode: Select "Decode" from the operation dropdown, provide the encoded message, and click "Execute". The decoded message will be displayed.

Example

Encoding

Select "Encode" from the operation dropdown.
Enter your hidden message in the "Message" text area.
Enter the cover text in the "Masking Text" input field.
Click "Execute" to see the result.

Decoding

Select "Decode" from the operation dropdown.
Enter the encoded message in the "Message" text area.
Click "Execute" to see the decoded message.

Files

`SheleftmeCipher.py`

Contains the Sheleftme class with the following methods:

text_to_binary(text): Converts text to binary representation.
binary_to_text(binary): Converts binary to text.
encode_message(message): Encodes a message using zero-width Unicode characters.
decode_message(encoded_message): Decodes a message from zero-width Unicode characters.
embed_message_in_text(cover_text, encoded_message): Embeds an encoded message in cover text.
extract_message_from_text(embedded_text): Extracts and decodes a message from text containing zero-width Unicode characters.

`app.py`

Contains the SheleftmeApp class which runs the Streamlit application. It handles user input, performs encoding or decoding, and displays the result.

License

This project is licensed under the MIT License.

robyfirnandoyusuf/SheleftmeCipher