* Fixing ausearch * changed stepres * this works * blacked * No more cipheycore in ausearch
|1 week ago|
|.github||2 months ago|
|Pictures_for_README||2 months ago|
|ciphey||1 week ago|
|tests||1 week ago|
|tools||6 months ago|
|translations||2 months ago|
|.all-contributorsrc||2 months ago|
|.gitignore||9 months ago|
|CODE_OF_CONDUCT.md||7 months ago|
|CONTRIBUTING.md||6 months ago|
|README.md||3 weeks ago|
|codecov.yml||11 months ago|
|license||12 months ago|
|noxfile.py||4 months ago|
|pyproject.toml||3 weeks ago|
🤔 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 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.
- 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
- 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 Blazingly fast.
🔭 Ciphey vs CyberChef
🔁 Base64 Encoded 42 times
|Name||⚡ Ciphey ⚡||🐢 CyberChef 🐢|
|Time||2 seconds||6 seconds|
Note The gifs may load at different times, so one may appear significantly faster than another.
A note on magic CyberChef's most similar feature to Ciphey is Magic. Magic fails instantly on this input and crashes. The only way we could force CyberChef to compete was to manually define it.
We also tested CyberChef and Ciphey with a 6gb file. Ciphey cracked it in 5 minutes and 54 seconds. CyberChef crashed before it even started.
📊 Ciphey vs Katana vs CyberChef Magic
|Name||⚡ Ciphey ⚡||🗡️ Katana 🗡️||🐢 CyberChef Magic 🐢|
|Advanced Language Checker||✅||❌||✅|
|Releases named after Dystopian themes 🌃||✅||❌||❌|
|Easy to set up||✅||❌||✅|
|Can guess what something is encrypted with||✅||❌||❌|
|Created for hackers by hackers||✅||✅||❌|
🎬 Getting Started
If you're having trouble with installing Ciphey, read this.
‼️ Important Links (Docs, Installation guide, Discord Support)
|Installation Guide||Documentation||Discord||Docker Image (from REMnux)|
|📖 Installation Guide||📚 Documentation||🦜 Discord||🐋 Docker Documentation|
There are 3 ways to run Ciphey.
- File Input
ciphey -f encrypted.txt
- Unqualified input
ciphey -- "Encrypted input"
- Normal way
ciphey -t "Encrypted input"
To get rid of the progress bars, probability table, and all the noise use the quiet mode.
ciphey -t "encrypted text here" -q
For a full list of arguments, run
⚗️ Importing Ciphey
You can import Ciphey's main and use it in your own programs and code.
from Ciphey.__main__ import main
Ciphey was revived & recreated by the Cyber Security Society for use in CTFs. If you're ever in Liverpool, consider giving a talk or sponsoring our events. Email us at
email@example.com to find out more 🤠
Major Credit to George H for working out how we could use proper algorithms to speed up the search process.
Special thanks to varghalladesign for designing the logo. Check out their other design work!
Don't be afraid to contribute! We have many, many things you can do to help out. Each of them labelled and easily explained with examples. If you're trying to contribute but stuck, tag @bee-san ✨
Alternatively, join the Discord group and send a message there (link in contrib file) or at the top of this README as a badge.
Please read the contributing file for exact details on how to contribute ✨
💰 Financial Contributors
The contributions will be used to fund not only the future of Ciphey and its authors, but also Cyber Security Society at the University of Liverpool.
GitHub doesn't support "sponsor this project and we'll evenly distribute the money", so pick a link and we'll sort it out on our end 🥰
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!