Posts

  • Oct 12, 2022

    rgl

    RGL is a framework for graph data structures and algorithms in Ruby.

    RGL is a framework for graph data structures and algorithms.

    The design of the library is much influenced by the Boost Graph Library (BGL) which is written in C++. Refer to https://www.boost.org/libs/graph/doc for further links and documentation on graph data structures and algorithms and the design rationales of BGL.

    A comprehensive summary of graph terminology can be found in the graph section of the Dictionary of Algorithms and Data Structures at https://www.nist.gov/dads/HTML/graph.html or Wikipedia.

    Tags: #ruby • rgl • graph-library

  • Oct 11, 2022

    hyper-sdk

    Make your own hyper apps!

    A Software Development Kit for the hypercore-protocol

    Formerly known as “dat-sdk”.

    Tags: #javascript • p2p • hypercore-protocol

  • Oct 11, 2022

    laracrud

    Laravel Code Generator based on MySQL Database

    Do you have a well structed database and you want to make a Laravel Application on top of it. By using this tools you can generate Models which have necessary methods and property, Request class with rules, generate route from controllers method and its parameter and full features form with validation error message and more with a single line of command. So lets start. See demo code and slides

    Tags: #php • laravel-crud • laravel-5-package

  • Oct 11, 2022

    preact-boilerplate

    :guitar: Ready-to-rock Preact starter project, powered by Webpack.

    :guitar: Ready-to-rock [Preact] starter project, powered by [webpack]. (View Demo)

    :rocket: Note: We now recommend Preact CLI for new projects.

    Preact CLI is a natural evolution of this boilerplate, and improves on it in every way. In a single dependency, you get a friendly command line project creation and build tool with development & production modes. Preact CLI requires no configuration at all, and even does automatic code-splitting without you lifting a finger! It also produces bundles roughly half the size of preact-boilerplate.

    Tags: #javascript • preact • webpack

  • Oct 10, 2022

    clay-viewer

    3D model viewer with high quality rendering and glTF2.0/GLB export

    3D model viewer with high quality rendering based on ClayGL and glTF2.0/GLB export.

    Tags: #javascript • webgl • gltf2

  • Oct 10, 2022

    h8mail

    Email OSINT & Password breach hunting tool, locally or using premium services. Supports chasing down related email

    Tags: #python • osint • email

  • Oct 10, 2022

    TikTokAPI-Python

    TikTok API Python Wrapper

    This is an unofficial TikTok Api python wrapper. I have an App using this API, and thus will constantly keep updating this wrapper
    This implementation is inspired by TikTokApi, but runs faster.

    Tags: #python • tiktok • tiktok-api

  • Oct 9, 2022

    Watcher

    Watcher - Open Source Cybersecurity Threat Hunting Platform. Developed with Django & React JS.

    • Detecting emerging cybersecurity trends like new vulnerabilities, malwares… Via social networks & other RSS feeds (www.cert.ssi.gouv.fr, www.cert.europa.eu, www.us-cert.gov, www.cyber.gov.au…).
    • Monitor for information leaks, for example in Pastebin & other IT content exchange websites (stackoverflow, github, gitlab, bitbucket, apkmirror, npm…).
    • Monitor malicious domain names for changes (IPs, mail/MX records, web pages using TLSH).
    • Detecting suspicious domain names targeting your organisation, using:

    Useful as a bundle regrouping threat hunting/intelligence automated features.

    Tags: #python • cybersecurity • threat-hunting

  • Oct 9, 2022

    phpmemadmin

    Bringing Memcached to the web.

    Tags: #php • dashboard • memcached

  • Oct 9, 2022

    PassGAN

    A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

    This repository contains code for the PassGAN: A Deep Learning Approach for Password Guessing paper.

    The model from PassGAN is taken from Improved Training of Wasserstein GANs and it is assumed that the authors of PassGAN used the improved_wgan_training tensorflow implementation in their work. For this reason, I have modified that reference implementation in this repository to make it easy to train (train.py) and sample (sample.py) from. This repo contributes:

    • A command-line interface
    • A pretrained PassGAN model trained on the RockYou dataset

    Tags: #python • password-cracking • machine-learning

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