Topic: malicious-url Goto Github
Some thing interesting about malicious-url
Some thing interesting about malicious-url
malicious-url,Malicious URL detector using keras recurrent networks and scikit-learn classifiers
User: chen0040
malicious-url,Detecting malicious URLs using Machine Learning
Organization: cozpii
malicious-url,List of phishing URLs/Domains
Organization: crimealysis
malicious-url,Curated block list including IPs, FQDNs, Domains, JA3, etc. Tailored for utmost precision to minimize false positives in personal or non-commercial environments. Updated regularly. For assistance or to support our initiatives, please reach out or consider participating in our sponsorship program
Organization: digisquad-repo
Home Page: https://www.digisquad.com
malicious-url,Embed malware, apks, executables or any other binary file into a PDF, or generate a PDF with malicious link encrusted.
User: e-m3din4
malicious-url,Chrome extension for proactive detection of malicious websites
User: elitewise
malicious-url,Cyber Security Project (College Project 6 month training)
User: ethical-akash
malicious-url,Malicious Url Detection
User: ggulgun
malicious-url,The project focuses on detecting malicious URLs, a critical problem in today's digital landscape.
User: ksruthivel
malicious-url,Malicious Domain Blocklist, suitable for use in Pi-hole or similar applications which accept domain based lists..
User: manic-code
malicious-url,
User: navytitanium
Home Page: https://blog.brillantit.com/exposing-eitest-campaign/
malicious-url,A repository with source code for the detection of malicious domain.
User: nilesh1989
malicious-url,Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
User: osmankandemir
malicious-url,Hackers attacks intercepted
User: paulohl
malicious-url,its a rebuild of saycheese with golang
User: ranon-rat
malicious-url,Cyberus is a tool to check the generic and sentimental legitimacy of the message, and it gives an approximate idea of the risk, based on the dataset, on which it has trained, and some machine learning models for predicting the risk quantitatively.
User: s-m-quadri
Home Page: https://colab.research.google.com/drive/1J_3JlpL9DHryn6nlHMCr4JqvgNGI21-n?usp=share_link
malicious-url,A DNS blocklist repo. Lists in various formats like AdGuard/Easylist, Pi-hole, HOSTS. Includes regex and wiki
User: systemjargon
Home Page: https://systemjargon.github.io/blocklists/
malicious-url,A curated collection of JSON files containing lists of websites associated with malicious activities.
User: thatsinewave
Home Page: https://thatsinewave.github.io/Malicious-URLs-DB/
malicious-url,Python-based tool for analyzing URLs and detecting potential threats using various cybersecurity services.
User: thatsinewave
Home Page: https://github.com/Cybersight-Security/URL-Analysis-Tool
malicious-url,free-nitro.club detection api; /links returns all links and /links/<link> checks if the link is malicious
User: thrzl
Home Page: https://linkviper.up.railway.app/
malicious-url,Protect your computer / rooted-smartphone !
User: universalbyte
malicious-url,A Machine Learning Model to detect malicious urls which include Deep File Analysis on attributes as well dropped files.
User: uppusaikiran
malicious-url,Machine Learning Based Ransomware generated Command and Control Domain Detector.
User: uppusaikiran
malicious-url,Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, providing an essential prediction for cybersecurity.
User: vishal815
Home Page: https://github1s.com/vishal815/Malicious-URL-Detection-System/tree/main
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