#Hashing
Showing 35 of 35 repositories tagged #hashing, ranked by stars
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
😎 Finding duplicate images made easy!
🔗 Don't know what type of hash it is? Name That Hash will name that hash type! 🤖 Identify MD5, SHA256 and 300+ other hashes ☄ Comes with a neat web app 🔥
🇸Superpowered Audio, Networking and Cryptographics SDKs. High performance and cross platform on Android, iOS, macOS, tvOS, Linux, Windows and modern web browsers.
aHash is a non-cryptographic hashing algorithm that uses the AES hardware instruction
SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.
📐 Pushing the boundaries of simplicity
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
:key: Hash type identifier (CLI & lib)
An Open-Source Package for Deep Learning to Hash (DeepHash)
🔒Unified API for password hashing algorithms
Java cryptographic library that supports Argon2, bcrypt, scrypt and PBKDF2 aimed to protect passwords in databases. Easy to use by design, highly customizable, secure and portable. All the implementations follow the standards and have been reviewed to perform better in the JVM.
Interactive Python CLI that wraps Hashcat with guided menus for wordlist, rule-based, brute-force, and hybrid attacks. Supporting 300+ hash types including WPA2, NTLM, bcrypt, ZIP, and more.
DAR - Disk ARchive, a fully featured backup tool
It is Rent A Car System project developed as Full Stack using C# and Angular.
PtrHash minimal perfect hash function
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/
:triangular_flag_on_post: A CLI tool & library to enhance and speed up script/exploit writing with string conversion/manipulation.
Making floating-point behave.
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Standard Subresource Integrity library for Node.js
A bcrypt plugin for samp.
Fully automated windows credentials dumper, for SAM (classic passwords) and WINHELLO (pins). Requires to be run from a linux machine with a mounted windows drive.
Package passwap provides a unified implementation between different password hashing algorithms. It allows for easy swapping between algorithms, using the same API for all of them.
An easy way for hashing and encryption.
a standalone toolkit supporting AES, SM4 encryption, RSA, SM2 encryption/sign/verify, hash,SM3 algorithms, encoding, and password generation—all offline and secure. 这是一个支持AES、SM4加密，RSA、SM2 签名/验签，哈希算法，SM3，编码与密码生成的独立工具箱，可断网运行，确保安全性。
The hmac-bcrypt password hashing function
ClatsCracker is a versatile Executable & Python based password-cracking tool supporting 25 hash algorithms. It offers dictionary or brute-force attacks, adjustable threads, salted hash verification, a user-friendly menu, and progress feedback—ensuring, efficient, ethical password testing. The exe version does not require Python. Just open it!
Algorithm identification tool on hashes
A lightweight, open-source developer toolkit for encoding, hashing, formatting, data conversion, and more.
🛡️ Robust data integrity tool. Prove data, text, & files using the Ethereum blockchain.
Blazingly fast CLI filesystem traverser and multithreaded mass file hasher / hash index generator, with diff support to validate hashes and track changes, powered by jwalk and xxh3, and of course, Rust!
A local-first, terminal-based password manager built for people who care about security, simplicity, and control
Password cracker made in WASM Rust inspired by the popular John the Ripper