Skip to content
#

phishing-detection

Here are 169 public repositories matching this topic...

Production-ready phishing detection API with dual-mode ML system (Simple + Ensemble). FastAPI server with 7-model ensemble, 2,039 engineered features, and comprehensive test suite (38/38 passing).

  • Updated Oct 21, 2025
  • Python

A comprehensive deep learning framework for phishing detection, utilizing Graph Neural Networks (GraphSAGE) to analyze interconnected web features. Features include temporal graph construction, causal learning for robust time-series analysis, and integrated noise injection testing to evaluate model resilience against data imperfections.

  • Updated May 27, 2025
  • Python

PhishUrlHunter is a phishing detection project which identifies malicious URLs, and websites using Deep Reinforcement learning technique , which is Deep Q Network . The project includes feature extraction pipelines, machine learning models, and evaluation scripts for accurate phishing classification.

  • Updated Nov 13, 2025
  • Python

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.

  • Updated Aug 25, 2025
  • Python

Improve this page

Add a description, image, and links to the phishing-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the phishing-detection topic, visit your repo's landing page and select "manage topics."

Learn more