Metadata-Version: 2.1
Name: Ciphey
Version: 3.5.7
Summary: Automated decryption tool using machine learning & common sense
Home-page: https://github.com/brandonskerritt/ciphey
Author: Brandon Skerritt
Author-email: brandon@skerritt.blog
License: MIT
Description: <p align="center">
          <img src="Pictures_for_README/binoculars.png" alt="Ciphey">
        </p>
        
        
        <p align="center">
          <img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="Ciphey">
          <img src="https://github.com/brandonskerritt/Ciphey/workflows/Python%20application/badge.svg?branch=master" alt="Ciphey">
          <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/ciphey">
        </p>
        
        # What is this?
        Ciphey is an automated decryption tool. Input encrypted text, get the decrypted text back.
        > "What time of encryption?"
        That's the point. You don't know, you just know it's possibly encrypted. Ciphey will figure it out for you.
        
        Ciphey uses a deep neural network to guess what something is encrypted with, and then a custom built natural language processing module to determine the output.
        
        Ciphey can solve most things in under 3 seconds.
        [![asciicast](https://asciinema.org/a/FBBM0tgBW86svZmjJzct73oln.svg)](https://asciinema.org/a/FBBM0tgBW86svZmjJzct73oln)
        
        # Features
        
        - **20+ encryptions supported** such as hashes, encodings (binary, base64) and normal encryptions like Caesar cipher, Transposition and more.
        - **Deep neural network for targetting the right decryption** resulting in decryptions taking less than 3 seconds. If Ciphey cannot decrypt the text, Ciphey will use the neural network analysis to give you information on how to decrypt it yourself.
        - **Custom built natural language processing module** Ciphey can determine whether something is plaintext or not. It has an incredibly high accuracy, along with being fast.
        - **Multi Language Support** at present, only English.
        - **Supports hashes & encryptions** Which the alternatives such as CyberChef do not. 
        
        # Getting Started
        ## Installation
        ### Pip
        ```pip3 install ciphey```
        
        ```ciphey -t "encrypted text here"```
        To run ciphey.
        
        ### Cloning from GitHub
        ```git clone https://github.com/brandonskerritt/ciphey```
        cd ciphey && python3 ciphey -t "encrypted text here"```
        To run ciphey
        ### Running Ciphey
        To get rid of the progress bars, probability table, and all the noise use the grep mode.
        ```ciphey -t "encrypted text here" -g```
        For a full list of arguments, run `ciphey -h`.
        
        It is also possible to pipe data into Ciphey, or to use Ciphey like `ciphey 'encrypted text here'`
        ### Importing Ciphey
        You can import Ciphey\'s __main__ and use it in your own programs and code.
        This is feature is expected to expand in the next version.
        # FAQ
        
        <details>
          <summary>Click to expand!</summary>
          
        ## Curious about the neural network or language checker? 
        * The documentation is your friend at /docs
        ## The Internal Data packet
        * Passed around in the program, it is `{"lc": self.lc, "IsPlaintext?": True, "Plaintext": translated, "Cipher": "Caesar", "Extra Information": "The rotation used is {counter}"}`
        ## What new features were added?
        * Read the [changelog.md](changelog.md)
        </details>
        
        
        # Contributors
        ## Contributing
        Please read the contributing file.
        ## Code Contributors
        [Cyclic3](https://github.com/Cyclic3)
        ## Financial Contributors
        
        <a target="_blank" href="https://icons8.com/icons/set/binoculars">iOS</a>, <a target="_blank" href="https://icons8.com/icons/set/binoculars">iOS Filled</a> and other icons by <a target="_blank" href="https://icons8.com">Icons8</a>
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
