bee-san

    bee-san/Ciphey

    ⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

    21.7K stars
    1.4K forks
    21.7K GitHub watchers
    Updated Nov 6, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 66 days ago, with 53 contributors on GitHub.

    Use Cases & Benefits

    • Automatically decrypts unknown encryptions, decodes encodings, and cracks hashes using AI and natural language processing without needing the key or cipher.
    • Leverages a custom AI module and language detection to quickly identify encryption types and confirm plaintext, enabling decryption in under 3 seconds.
    • Use for quickly analyzing and decrypting ciphertexts in Capture The Flag (CTF) competitions without prior knowledge of the encryption method.
    • Use for penetration testers needing to automate the decryption of encoded or encrypted data encountered during security assessments.
    • Use for developers or researchers who want to integrate automated decryption and decoding capabilities into their Python applications.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

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    From the README

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

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

    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.

    Excerpt from the bee-san/Ciphey README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.4K+4

    Open issues

    61+59

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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