This project aims to maintain Wappalyzer technologies

Implementation of Wappalyzer in Python

Wappalyzer CLI tool to find Web Technologies

Run Wappalyzer asynchronously on a list of URLs and generate a Excel file containing all results.

Pywappalyzer is modern way to identify website technologies via Python.

Changes the output of Wappalyzer into something human readable. It also provides links to useful websites and a Google query for finding information on vulnerabilities.

Python implementation of wappalyzer

Simple tool for checking HTTP headers, cookies and technology

Passive Vulnerability Scanner working with Wappalyzer API and MITRE CVE search functionnality.

An CLI tool to find Web Technologies Direct In Terminal It identifies technologies on websites, such as CMS, web frameworks, ecommerce platforms, JavaScript libraries, analytics tools A long list of regular expressions is used to identify technologies on web pages. It inspects HTML code, as well as JavaScript variables, response headers and more

Wappalyzer is a Python script for generating Wappalyzer results to file

AYOT (Automate Your Own Tools) is a Python project that analyzes web pages and performs various operations on them.

YRA efficiently detects technologies and services used by web applications. It supports both command-line arguments and piped input for flexible usage and employs parallel processing for efficient scanning of multiple URLs.

WebScanner is a Python TUI application for gathering website information through DNS lookups, WHOIS scans, server host lookups, and more, without external APIs.

Website-Technology-Profiler using Python Flask. Get your wappalyzer api key to make use of this profiler.

WESSy stands for Web Endpoint Security Scorecard. This Python code scans for legacy crypto &/or software components, public-facing cloud storage repositories, open TCP ports, server configuration gaps, as well as data injection vulnerabilities.