Welcome to the repository of comprehensive solutions for bWAPP's Cross-Site Scripting (XSS) challenges, meticulously curated and solved by BugBot19 (Nihar Rathod). This repository serves as a one-stop resource for anyone looking to understand and solve XSS vulnerabilities in the bWAPP (Buggy Web Application) framework.

Most advanced XSS detection suite.

This tool automates the process of testing for Cross-Site Scripting (XSS) vulnerabilities on websites. It includes features like dynamic payload generation, integration with other Cybersecurity tools, and automated remediation suggestions.

Automatic uppercase/lowercase XSS payload conversion

XssPrnv is a versatile tool designed for Cross-Site Scripting (XSS) vulnerability testing, available in both GUI and terminal interfaces. It simplifies manual testing, addressing the limitations of automated scans that may miss certain triggers.

im into metaploit,cross-script-injections,basically web-based attacks. i enjoy learning how the code operates inside a website while exploiting its weaknesses

The all-in-one Red Team extension for Web Pentester 🛠

XSS ATTACK COOKIE INFO

An exploit and demonstration on how to exploit a Stored XSS vulnerability in https://anonstress.com.

A tool that automatically detects XSS vulnerabilities.

This is a repo of my solution of one XSS challenge website (http://sudo.co.il/xss/) . This challenges may have different types of solutions. My solutions are not the only one. So, keep searching & keep sharing.

the most tips and tricks for bypass xss (eventhandlers, tags, popup)

An ongoing curated collection of awesome XSS software, libraries, frameworks, learning tutorials & practical resources cross-site scripting.

An exploit and demonstration on how to exploit a Stored XSS vulnerability in https://anonstress.com.

An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Web Application Security Labs in Cybersecurity

This project contains datasets for Cross Site Scripting (XSS), SQL, and LDAP injections. The project also contains the Matlab code for creating SVM, K-NN, Random Forest, and Neural Networks classifiers to detect Web applications attacks.

A collection of payloads for different vulnerabilities, best payload lists in one repository

Cross Site Scripting ( XSS ) Vulnerability Payload List

Scripts, POCs & more