Stars
This is go CLI tool for send fast Multiple get HTTP request.
httpx is a fast and multi-purpose HTTP toolkit that allows running multiple probes using the retryablehttp library.
A tool to find subdomains and interesting things hidden inside, external Javascript files of page, folder, and Github.
This a adaption of tomnomnom's kxss tool with a different output format
Take a list of domains and probe for working HTTP and HTTPS servers
Fetch all the URLs that the Wayback Machine knows about for a domain
Find domains and subdomains related to a given domain
🌙🦊 Dalfox is a powerful open-source XSS scanner and utility focused on automation.
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 …
🐍 A toolkit for testing, tweaking and cracking JSON Web Tokens
SecretFinder - A python script for find sensitive data (apikeys, accesstoken,jwt,..) and search anything on javascript files
Simple, fast web crawler designed for easy, quick discovery of endpoints and assets within a web application
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the …
⚔️ Web Hacker's Weapons / A collection of cool tools used by Web hackers. Happy hacking , Happy bug-hunting
A collection of awesome one-liner scripts especially for bug bounty tips.
40X/HTTP bypasser in Go. Features: Verb tampering, headers, #bugbountytips, User-Agents, extensions, default credentials...
Kali Linux Cheat Sheet for Penetration Testers
A collection of scripts that help with different aspects of password cracking, such as wordlist generation, mask analysis, and positional character frequency.
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... .…
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 sa…