phising-detection

AI-powered Cyber Asset Management, Vulnerability Assessment & Attack Surface Management Platform.

A real-time phising detection and URL scanning browser extension just by hovering (Now Available on Edge Addons)

Production-grade MLOps pipeline for phishing URL detection with modular training, MLflow experiment tracking, FastAPI inference, and automated CI/CD to AWS

A cybersecurity lab project for simulating phishing attacks and analyzing detection techniques, with security awareness, email threat analysis, and defensive monitoring workflows.

Chrome extension that scans Gmail in real time and flags phishing emails using local heuristics + optional VirusTotal/PhishTank checks.

ML-powered phishing URL detection using Flask, Random Forest, and 30 heuristic security features.

CLI tool to check URLs for redirects, phishing, malware & security threats. Powered by Google Safe Browsing.

Privacy-first Chrome Extension for phishing, scam, fake login, clipboard, and lookalike-domain detection with local trust scoring.

AI-powered network security analyzer: syslog & pcap analysis, IDS/IPS-style threat detection (lateral movement, ransomware, phishing), and multi-vendor (FortiGate/Cisco/Palo Alto) log & config review. Free live demo included.

An end-to-end MLOps pipeline for detecting phishing URLs. Built with scikit-learn, this production-grade system features MongoDB data ingestion, drift detection, MLflow experiment tracking, and a FastAPI REST API deployed via Docker and GitHub Actions.

AI-inspired phishing and scam risk detection tool built with Python and Streamlit.

Performed email forensic analysis to detect spoofed emails through header analysis, authentication validation (SPF/DKIM/DMARC), and OSINT-based IP attribution

Real-time browser extension for phishing detection using URL heuristics and DOM inspection (Manifest V3)

PhishGuard is a phishing‑focused training application that uses realistic, scenario‑based simulations to help users identify deceptive messages, spoofed senders and malicious URLs. It includes tailored tracks for students and elderly users, reflecting the specific phishing tactics commonly used against each group.

Interpretable phishing email detector built with scikit-learn — TF-IDF + engineered structural features, 5-model comparison, threshold tuning, and feature importance analysis for SOC-ready explainability.

🛡️ PhishGuard – Real-time phishing detection system. Hybrid blacklist/heuristic engine + cross‑browser extension. Built with Django & Python.

Real-time phishing URL detection using Random Forest ML — 99.90% AUC-ROC

ML phishing URL detector using LightGBM — 93.2% accuracy

REST API deteksi phishing & URL berbahaya berbasis Python yang mengintegrasikan Google Safe Browsing, VirusTotal, dan URLScan.io.

AI-powered phishing detection platform for real-time URL analysis and intelligent web threat detection.