Lightweight tool to perform MITM attack on local network

Related tags

Deep LearningARPSpy
Overview

ARPSpy - A lightweight tool to perform MITM attack

Using many library to perform ARP Spoof and auto-sniffing HTTP packet containing credential. (Never use HTTP Websites on public network)

Give me a star if you like it =))

Not well-tested for any platform other than my Kali Machine

Requirement

  • net-tools package
  • pip3
  • python3

Installation and Usage

Python3 only

	git clone https://github.com/letronghoangminh/ARPSpy
	cd ARPSpy
	sudo pip3 install -r requirements.txt
	sudo python3 ARPSpy.py 

License

MIT

Version

Current version: 1.0.1

Author:

Lê Trọng Hoàng Minh (Minh Itachi)

Owner
MinhItachi
A script kiddie who like to make possible things impossible
MinhItachi
https://sites.google.com/cornell.edu/recsys2021tutorial

Counterfactual Learning and Evaluation for Recommender Systems (RecSys'21 Tutorial) Materials for "Counterfactual Learning and Evaluation for Recommen

yuta-saito 45 Nov 10, 2022
Jarvis Project is a basic virtual assistant that uses TensorFlow for learning.

Jarvis_proyect Jarvis Project is a basic virtual assistant that uses TensorFlow for learning. Latest version 0.1 Features: Good morning protocol Tell

Anze Kovac 3 Aug 31, 2022
Class-Attentive Diffusion Network for Semi-Supervised Classification [AAAI'21] (official implementation)

Class-Attentive Diffusion Network for Semi-Supervised Classification Official Implementation of AAAI 2021 paper Class-Attentive Diffusion Network for

Jongin Lim 7 Sep 20, 2022
The Codebase for Causal Distillation for Language Models.

Causal Distillation for Language Models Zhengxuan Wu*,Atticus Geiger*, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D.

Zen 20 Dec 31, 2022
Let Python optimize the best stop loss and take profits for your TradingView strategy.

TradingView Machine Learning TradeView is a free and open source Trading View bot written in Python. It is designed to support all major exchanges. It

Robert Roman 473 Jan 09, 2023
The Noise Contrastive Estimation for softmax output written in Pytorch

An NCE implementation in pytorch About NCE Noise Contrastive Estimation (NCE) is an approximation method that is used to work around the huge computat

Kaiyu Shi 287 Nov 25, 2022
Parameterized Explainer for Graph Neural Network

PGExplainer This is a Tensorflow implementation of the paper: Parameterized Explainer for Graph Neural Network https://arxiv.org/abs/2011.04573 NeurIP

Dongsheng Luo 89 Dec 12, 2022
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs

Spectrum Surveying: The Python code in this repository implements the simulations and plots the figures described in the paper “Spectrum Surveying: Ac

Universitetet i Agder 2 Dec 06, 2022
Solutions and questions for AoC2021. Merry christmas!

Advent of Code 2021 Merry christmas! 🎄 🎅 To get solutions and approximate execution times for implementations, please execute the run.py script in t

Wilhelm Ågren 5 Dec 29, 2022
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations

AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-l

Facebook Research 4.6k Jan 09, 2023
External Attention Network

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper : https://arxiv.org/abs/2105.02358 Jittor code will come soon

MenghaoGuo 357 Dec 11, 2022
Tidy interface to polars

tidypolars tidypolars is a data frame library built on top of the blazingly fast polars library that gives access to methods and functions familiar to

Mark Fairbanks 144 Jan 08, 2023
MTA:SA Server Configer.

MTAConfiger MTA:SA Server Configer. Hi 👋 , I'm Alireza A Python Developer Boy 🔭 I’m currently working on my C# projects 🌱 I’m currently Learning CS

3 Jun 07, 2022
Distance Encoding for GNN Design

Distance-encoding for GNN design This repository is the official PyTorch implementation of the DEGNN and DEAGNN framework reported in the paper: Dista

172 Nov 08, 2022
PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence) and pre-trained model on ImageNet dataset

Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin

Yuzhi ZHAO 11 Jul 28, 2022
Generative Handwriting using LSTM Mixture Density Network with TensorFlow

Generative Handwriting Demo using TensorFlow An attempt to implement the random handwriting generation portion of Alex Graves' paper. See my blog post

hardmaru 686 Nov 24, 2022
Multi-Person Extreme Motion Prediction

Multi-Person Extreme Motion Prediction Implementation for paper Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer, Multi-Person Extre

GUO-W 38 Nov 15, 2022
Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism

Period-alternatives-of-Softmax Experimental Demo for our paper 'Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechani

slwang9353 0 Sep 06, 2021
La source de mon module 'pyfade' disponible sur Pypi.

Version: 1.2 Introduction Pyfade est un module permettant de créer des dégradés colorés. Il vous permettra de changer chaque ligne de votre texte par

Billy 20 Sep 12, 2021
git《Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser》(2021) GitHub: [fig5]

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser Abstract The success of deep denoisers on real-world colo

Yue Cao 51 Nov 22, 2022