The DNA test for websites

Web-based OSINT tool that provides URL analysis, Exif data extraction, and reverse phone lookup.

A strict iOS app that analyzes link safety like a nutrition label (no AI, offline)

WhoDAT is an InfoSec Analyzer for Nerds using VirusTotal, Google Safe Browsing, URLScan, Hybrid-Analysis, and OpenAI. Scan URLs, emails, headers, and attachments (including QR codes) for malicious activity!

Python-based tool for analyzing URLs and detecting potential threats using various cybersecurity services.

CrawlerBox is an automated analysis framework designed for parsing emails and crawling embedded web resources.

A machine learning project that accurately detects phishing URLs to enhance online security 🔒. It analyzes URL features and predicts potential threats, helping protect users from cyber attacks 🚫.

Automate risk assessments for any URL using the public Zulu Zscaler web service. CLI tool for single, manual lookups – ideal for security research, education, and integration.

A comprehensive phishing detection tool with advanced URL analysis, email header validation, domain similarity checks, and homograph attack detection. Features a risk scoring system, web interface, CLI, and REST API—ideal for personal protection, security training, and educational use.

An all in one tool for IP/URL/Domain analysis and enrichment - Apollo.py

A simple ML-powered tool that helps detect phishing emails and suspicious URLs through an easy to use web interface

This project identifies potentially malicious (phishing) URLs using machine learning techniques. Phishing is a common cyber threat where attackers trick users into sharing sensitive information via deceptive websites. Our model analyzes URLs based on 30+ features and predicts whether they are safe or phishing.

Analyze and capture screenshots of URL threat intelligence and WHOIS information using VirusTotal API, Selenium, and Defang libraries.