# Ciphey **Repository Path**: csharphpython/Ciphey ## Basic Information - **Project Name**: Ciphey - **Description**: ⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡ - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-10-16 - **Last Updated**: 2021-10-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Translations
🇩🇪 DE 🇫🇷 FR 🇭🇺 HU 🇮🇩 ID 🇮🇹 IT 🇳🇱 NL 🇧🇷 PT-BR 🇷🇺 RU 🇨🇳 ZH

➡️ Documentation | Discord | Installation Guide ⬅️
Ciphey

Fully automated decryption/decoding/cracking tool using natural language processing & artificial intelligence, along with some common sense.

## [Installation Guide](https://github.com/Ciphey/Ciphey/wiki/Installation) |

🐍 Python |

🐋 Docker (Universal) |

🍎 MacPorts (macOS) |

🍺 Homebrew (macOS/Linux) | | --------------------------------------------------------------------- | --------------------------------------------------------------------------------- | --------------------------------------------------------------------------------- |--------------------------------------------------------------------------------- | |

# 🤔 What is this? Input encrypted text, get the decrypted text back. > "What type 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 can solve most things in 3 seconds or less.

Ciphey demo

Ciphey aims to be a tool to automate a lot of decryptions & decodings such as multiple base encodings, classical ciphers, hashes or more advanced cryptography. If you don't know much about cryptography, or you want to quickly check the ciphertext before working on it yourself, Ciphey is for you. **The technical part.** Ciphey uses a custom built artificial intelligence module (_AuSearch_) with a _Cipher Detection Interface_ to approximate what something is encrypted with. And then a custom-built, customisable natural language processing _Language Checker Interface_, which can detect when the given text becomes plaintext. No neural networks or bloated AI here. We only use what is fast and minimal. And that's just the tip of the iceberg. For the full technical explanation, check out our [documentation](https://github.com/Ciphey/Ciphey/wiki). # ✨ Features - **50+ encryptions/encodings supported** such as binary, Morse code and Base64. Classical ciphers like the Caesar cipher, Affine cipher and the Vigenere cipher. Along with modern encryption like repeating-key XOR and more. **[For the full list, click here](https://github.com/Ciphey/Ciphey/wiki/Supported-Ciphers)** - **Custom Built Artificial Intelligence with Augmented Search (AuSearch) for answering the question "what encryption was used?"** Resulting in decryptions taking less than 3 seconds. - **Custom built natural language processing module** Ciphey can determine whether something is plaintext or not. Whether that plaintext is JSON, a CTF flag, or English, Ciphey can get it in a couple of milliseconds. - **Multi Language Support** at present, only German & English (with AU, UK, CAN, USA variants). - **Supports encryptions and hashes** Which the alternatives such as CyberChef Magic do not. - **[C++ core](https://github.com/Ciphey/CipheyCore)** Blazingly fast. # 🔭 Ciphey vs CyberChef ## 🔁 Base64 Encoded 42 times

Name	⚡ Ciphey ⚡	🐢 CyberChef 🐢
Gif
Time	2 seconds	6 seconds
Setup	Run ciphey on the file	Set the regex param to "{" You need to know how many times to recurse You need to know it's Base64 all the way down You need to load CyberChef (it's a bloated JS app) Know enough about CyberChef to create this pipeline Invert the match

_cyclic3 🎨 🚧 💻 🤔	_Brandon 🎨 🚧 💻 🤔	_michalani 💻	_ashb07 💻	_Shardion 🐛	_Bryan 🌍 📖	_{Lukas Gabriel} 💻 🐛 🌍 🤔
_Darshan 🐛	_{SkeletalDemise} 💻	_{Christian Clauss} 💻 🐛	_Machinexa2 🖋	_{Anant Verma} 💻 🐛	_XVXTOR 📖	_Itamikame 💻
_MikeMerz 💻	_{Jacob Galam} 💻 🐛	_{TuxTheXplorer} 🌍	_Itamai 💻 🐛	_Filipe 🌍	_Malathi 💻	_Jack 🌍
_Younes 🌍	_{Marnick Vandecauter} 🌍	_{Michael V} 💻	_chuinzer 🌍	_blackcat-917 🌍 📖	_{Åsmund Brekke} 💻	_{Sashreek Shankar} 💻
_cryptobadger 💻 🐛	_elf 💻	_{Roger Yu} 💻	_dysleixa 💻	_{Mohammad Zulfikar} 📖	_{Alexander Burchenko} 🌍

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!