Spooky Skelly For Python

Overview
 _____                 _           _____  _         _  _      
|   __| ___  ___  ___ | |_  _ _   |   __|| |_  ___ | || | _ _ 
|__   || . || . || . || '_|| | |  |__   || '_|| -_|| || || | |
|_____||  _||___||___||_,_||_  |  |_____||_,_||___||_||_||_  |
       |_|                 |___|                         |___|
Created by KuroRyuka

Python3.9 OS OS OS License

Menu de Herramientas

Recogida de Informacion

  • Whois
  • Ping
  • Traceroute
  • Nslookup
  • Todo en Uno (Una mezcla de todas las herramientas)

Herramientas Analisis

  • Nmap
  • NetDiscover
  • HostSpider
  • AdminHack

Herramientas Creacion Diccionarios

  • CuPP

Herramientas Ingenieria Social y OSINT

  • PyPhisher
  • DelvedLeak
  • LittleBrother

Requisitos

  • Distribucion de Debian o Ubuntu, preferiblemente Debian.
  • Tener el paquete instalado "git".

Instalacion

Para instalar esta herramienta seria conveniente seguir los siguientes pasos.

1º Actualizacion de la lista de paquetes disponibles y sus versiones:
sudo apt-update
2º Instalacion las nuevas versiones respetando la configuración del software:
sudo apt-upgrade
3º Instalacion del paquete "git":
sudo apt-get install git
4º Descarga una copia de Spooky Skelly a tu dispositivo:
git clone https://github.com/KuroRyuka/Spooky-Skelly.git
5º Cambiar el directorio al de dentro del paquete.
cd Spooky-Skelly
6º Añadir permiso de ejecucion al instalador de Spooky Skelly
chmod +x install.sh
7º Ejecutar el Programa de instalacion.
./install.sh

Desinstalacion

1º Desinstalacion una vez instalado la herramienta.
./uninstall.sh
2º Desinstalacion sin haber instalado la herramienta.
cd .. && rm -rf spooky-skelly

Politicas de Uso

Bienvenido a la herramienta de Spooky Skelly la cual es una herramienta especialmente diseñada para hacer auditorias.

Esta herramienta ha sido creada por @KuroRyuka, lo que quiere decir que yo como mi persona no me hago cargo por un mal uso o de un uso ilicito el cual afecte a terceros. Esta realizada para un uso didactico y para la realizacion de auditorias en entornos controlados. Por lo tanto si lo vas a usar para acciones ilicitas o en entornos no controlados abstente de instalar esta herramienta.

Owner
Kur0R1uka
Kur0R1uka
KoBERT - Korean BERT pre-trained cased (KoBERT)

KoBERT KoBERT Korean BERT pre-trained cased (KoBERT) Why'?' Training Environment Requirements How to install How to use Using with PyTorch Using with

SK T-Brain 1k Jan 02, 2023
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac

12.9k Jan 07, 2023
Python wrapper for Stanford CoreNLP tools v3.4.1

Python interface to Stanford Core NLP tools v3.4.1 This is a Python wrapper for Stanford University's NLP group's Java-based CoreNLP tools. It can eit

Dustin Smith 610 Sep 07, 2022
Pretty-doc - Composable text objects with python

pretty-doc from __future__ import annotations from dataclasses import dataclass

Taine Zhao 2 Jan 17, 2022
A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

Yuliang Liu 45 Oct 04, 2022
Training code for Korean multi-class sentiment analysis

KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da

Donghoon Shin 3 Dec 02, 2022
Utility for Google Text-To-Speech batch audio files generator. Ideal for prompt files creation with Google voices for application in offline IVRs

Google Text-To-Speech Batch Prompt File Maker Are you in the need of IVR prompts, but you have no voice actors? Let Google talk your prompts like a pr

Ponchotitlán 1 Aug 19, 2021
Just Another Telegram Ai Chat Bot Written In Python With Pyrogram.

OkaeriChatBot Just another Telegram AI chat bot written in Python using Pyrogram. Requirements Python 3.7 or higher.

Wahyusaputra 2 Dec 23, 2021
(ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.

BERT Convolutions Code for the paper Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. Contains expe

mlpc-ucsd 21 Jul 18, 2022
Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

Knover Knover is a toolkit for knowledge grounded dialogue generation based on PaddlePaddle. Knover allows researchers and developers to carry out eff

606 Dec 28, 2022
A raytrace framework using taichi language

ti-raytrace The code use Taichi programming language Current implement acceleration lvbh disney brdf How to run First config your anaconda workspace,

蕉太狼 73 Dec 11, 2022
Repository for the paper "Optimal Subarchitecture Extraction for BERT"

Bort Companion code for the paper "Optimal Subarchitecture Extraction for BERT." Bort is an optimal subset of architectural parameters for the BERT ar

Alexa 461 Nov 21, 2022
A simple visual front end to the Maya UE4 RBF plugin delivered with MetaHumans

poseWrangler Overview PoseWrangler is a simple UI to create and edit pose-driven relationships in Maya using the MayaUE4RBF plugin. This plugin is dis

Christopher Evans 105 Dec 18, 2022
Full Spectrum Bioinformatics - a free online text designed to introduce key topics in Bioinformatics using the Python

Full Spectrum Bioinformatics is a free online text designed to introduce key topics in Bioinformatics using the Python programming language. The text is written in interactive Jupyter Notebooks, whic

Jesse Zaneveld 33 Dec 28, 2022
A CRM department in a local bank works on classify their lost customers with their past datas. So they want predict with these method that average loss balance and passive duration for future.

Rule-Based-Classification-in-a-Banking-Case. A CRM department in a local bank works on classify their lost customers with their past datas. So they wa

ÖMER YILDIZ 4 Mar 20, 2022
Transformer training code for sequential tasks

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

Meta Research 578 Dec 13, 2022
Lingtrain Aligner — ML powered library for the accurate texts alignment.

Lingtrain Aligner ML powered library for the accurate texts alignment in different languages. Purpose Main purpose of this alignment tool is to build

Sergei Averkiev 76 Dec 14, 2022
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod

Harald Scheidl 736 Jan 03, 2023
☀️ Measuring the accuracy of BBC weather forecasts in Honolulu, USA

Accuracy of BBC Weather forecasts for Honolulu This repository records the forecasts made by BBC Weather for the city of Honolulu, USA. Essentially, t

Max Halford 12 Oct 15, 2022
Two-stage text summarization with BERT and BART

Two-Stage Text Summarization Description We experiment with a 2-stage summarization model on CNN/DailyMail dataset that combines the ability to filter

Yukai Yang (Alexis) 6 Oct 22, 2022