north0n-FI

nuclei

Fast and customizable vulnerability scanner based on simple YAML based DSL.

httpx

httpx is a fast and multi-purpose HTTP toolkit that allows running multiple probes using the retryablehttp library.

jwt_tool

:snake: A toolkit for testing, tweaking and cracking JSON Web Tokens

hakrawler

Simple, fast web crawler designed for easy, quick discovery of endpoints and assets within a web application

WebHackersWeapons

⚔️ Web Hacker's Weapons / A collection of cool tools used by Web hackers. Happy hacking , Happy bug-hunting

dalfox

🌙🦊 Dalfox is a powerful open-source XSS scanner and utility focused on automation.

waybackurls

Fetch all the URLs that the Wayback Machine knows about for a domain

assetfinder

Find domains and subdomains related to a given domain

httprobe

Take a list of domains and probe for working HTTP and HTTPS servers

SecretFinder

SecretFinder - A python script for find sensitive data (apikeys, accesstoken,jwt,..) and search anything on javascript files

kali-linux-cheatsheet

Kali Linux Cheat Sheet for Penetration Testers

SubDomainizer

A tool to find subdomains and interesting things hidden inside, external Javascript files of page, folder, and Github.

byp4xx

40X/HTTP bypasser in Go. Features: Verb tampering, headers, #bugbountytips, User-Agents, extensions, default credentials...

leaky-paths

A collection of special paths linked to common sensitive APIs, devops internals, frameworks conf, known misconfigurations, juicy APIs ..etc. It could be used as a part of web content discovery, to scan passively for high-quality endpoints and quick-wins.

Hacking_Tools_Cheat_Sheet

kxss

This a adaption of tomnomnom's kxss tool with a different output format

freq

This is go CLI tool for send fast Multiple get HTTP request.

Injectus

CRLF and open redirect fuzzer

Password-Scripts

A collection of scripts that help with different aspects of password cracking, such as wordlist generation, mask analysis, and positional character frequency.

Flower-Recognition-Kaggle-CNN-Keras

The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be classified into either of 5 types-> 'Daisy','Rose' etc... . I have trained Convolutional Neural Network written in Keras to predict the flower on the validation set. Also used ImageDataGenerator to augment the training set and avoid overfitting problem .

awesome-oneliner-bugbounty

A collection of awesome one-liner scripts especially for bug bounty tips.

stockPredictionUsingLSTM

This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.