Automated OWASP CRS and Bad Bot Detection for Nginx, Apache, Traefik and HaProxy

Chrome extension for detecting phishing web sites

Finds related domains and IPv4 addresses to do threat intelligence after Indicator-Intelligence collects static files.

Malicious actors often reuse code to deploy their malware, phishing website or CNC server. As a result, similiaries can be found on URLs path by inspecting internet traffic. Moreover, deep learning models or even regular ML model do not fit for inline deployment in terms of running performance. However, regexes ( or YARA rules ) can be deployed …

Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.

人工智能检测恶意URL

A comprehensive security dashboard tracking malicious activities with advanced analytics capabilities.

A tool that detects maliciousness of suspicious links, written in python with <3.

Detect malicious urls via deep learning network URLNet.

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.

A script to that checks for active connections to known malicious foreign IP addresses.

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.

A python tool to detect malicios and phishing domains.

Using machine learning to detect malicious urls

Machine Learning Based Ransomware generated Command and Control Domain Detector.

A Python 3 script that checks if a single URL, or multiple URLs, are malicious.