A python tool to detect malicios and phishing domains.
-
Updated
Jan 29, 2024 - Python
A python tool to detect malicios and phishing domains.
Detecting and Blocking malicious URL using Machine Learning
A Python 3 script that checks if a single URL, or multiple URLs, are malicious.
🔐 Identifies dark patterns online, Summarizes the privacy policy of a website, Malicious URL detection, Multilingual support & more ...
Using Random Forest to detect Malicious attacks on the ES6 Website
RogueBlock is an OSS list of known malicious wallet addresses on Algorand Blockchain
A Python 3 library that leverages the IP Quality Score API to scan links in real-time to detect suspicious URLs.
A Machine Learning Model to detect malicious urls which include Deep File Analysis on attributes as well dropped files.
This project classifies and detects malicious websites by analyzing various factors such as the URL of the website, IP address, the geographic location of where the website is hosted and other factors.
Chrome extension for proactive detection of malicious websites
free-nitro.club detection api; /links returns all links and /links/<link> checks if the link is malicious
Python-based tool for analyzing URLs and detecting potential threats using various cybersecurity services.
Implement machine learning and deep learning algorithms for malicious URL detection
A script to that checks for active connections to known malicious foreign IP addresses.
A simple webcrawler, mainly targeting the link validation and predicting malicious urls.
Este repositorio recoge el código desarrollado en el Trabajo Fin de Máster : Diseño y prototipado de un sistema de detección de URLs maliciosas en tiempo real. Máster Ingeniería de redes y Servicios Telemáticos (MUIRST). UPM. 2021-2022
A Dataset for the task of Malicious URL Detection
Add a description, image, and links to the malicious-url-detection topic page so that developers can more easily learn about it.
To associate your repository with the malicious-url-detection topic, visit your repo's landing page and select "manage topics."