My first attempt at a one-way hashing class/algoritm, built as a python class. It produces variable length hash from a message block of the size you want. The resulting hash will be ~2x the message block in size, and should provide for at least as many bits of security as the block itself.

I updated this, with a different hash than original, since I found a potential collision on some blocks, not but specific to that challenge. To further correct this, I modified the padding when it's less than the block size.

I hold no guarantee of the security of this algorithm, USE AT YOUR OWN RISK. I have had no 3rd party analysis done on the algorithm to date, but research is welcome, and a challenge is even provided in CHALLENGE.txt.

Features

  • Variable length digest returned, depending on block-size you use, with just a couple settings
  • Hash Strings
  • File Hashing
  • Number Hashing

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow FactHash

FactHash Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FactHash!

Additional Project Details

Programming Language

Python

Related Categories

Python Cryptography Software, Python Encryption Algorithms

Registered

2011-10-23