Phishing Detection
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Updated
Jan 26, 2026 - Go
Phishing Detection
The DNA test for websites
A web-based OSINT tool that provides URL analysis, Exif data extraction, and reverse phone lookup.
CrawlerBox is an automated analysis framework designed for parsing emails and crawling embedded web resources.
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!
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.
Python-based tool for analyzing URLs and detecting potential threats using various cybersecurity services.
Phishing URL detector using ML & feature engineering. End-to-end system with API, Docker, and CI/CD. Python • scikit-learn • BeautifulSoup.
Explainable AI-Powered URL Trust Intelligence Engine — 15+ parallel analysis engines, hybrid 70/30 rule+AI scoring, brand impersonation detection, behavioral analysis, and full-transparency evidence breakdown. Self-hosted, open-source.
PhishGuard is a machine learning based phishing detection system that analyzes URLs and identifies malicious websites in real time.
OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem
detect phishing URLs to enhance online security and predict potential threats
CLI tool to search in URLhaus database and submit URLs
Context-aware phishing detection system that analyzes URL structure, behavioural risk signals, and multilingual social-engineering patterns to identify phishing attempts.
AI powered phishing detection system using multimodal analysis (text, URLs, images). Combines BERT, DistilBERT & ResNet50 with 99.5% accuracy. Built with FastAPI + React.
🚨 Machine Learning–based Phishing URL Detection with Streamlit, Threat Map, Batch CSV Analysis & SIEM Alerts
Android application which uses openlysis back end.
A web application that detects and exposes homograph attacks by identifying Cyrillic character substitutions in deceptive URLs.
Suspicious URL scanner using Python. Detects risky keywords, IP domains, shortening services, and more. Great for OSINT and cybersecurity learning.
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