The DNA test for websites

A 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.

OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem

detect phishing URLs to enhance online security and predict potential threats

Offline phishing detection model for websites using a hybrid CNN–LSTM architecture. Operates without internet access, classifying URLs as legitimate or potentially malicious based on learned patterns.

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.

Suspicious URL scanner using Python. Detects risky keywords, IP domains, shortening services, and more. Great for OSINT and cybersecurity learning.

🔒 Machine learning-powered phishing URL detection system built with Flask and scikit-learn. Analyzes 30+ website features to identify malicious URLs with real-time safety scoring.

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

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.

Machine learning system for phishing URL detection with MLOps pipeline, MongoDB integration, and FastAPI deployment.

Phishing Website Detection — a modern Streamlit web app that identifies phishing URLs using a transparent, rule-based engine with instant analysis, detailed reasoning, and a clean UI. Includes a legacy ML pipeline (Random Forest) and data tools for the UCI Phishing Websites dataset.

🔍 Detect phishing websites offline using a combined CNN and LSTM model, analyzing URL features for high accuracy in classification.

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

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

Linkly is a fast and lightweight URL shortener app