|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 107 |
| Published: May 2026 |
| Authors: Md. Aminul Hoque Shamim |
10.5120/ijcad6515f227fc5
|
Md. Aminul Hoque Shamim . Runtime Phishing URL Detection Using Heuristics And Machine Learning. International Journal of Computer Applications. 187, 107 (May 2026), 1-9. DOI=10.5120/ijcad6515f227fc5
@article{ 10.5120/ijcad6515f227fc5,
author = { Md. Aminul Hoque Shamim },
title = { Runtime Phishing URL Detection Using Heuristics And Machine Learning },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 107 },
pages = { 1-9 },
doi = { 10.5120/ijcad6515f227fc5 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Md. Aminul Hoque Shamim
%T Runtime Phishing URL Detection Using Heuristics And Machine Learning%T
%J International Journal of Computer Applications
%V 187
%N 107
%P 1-9
%R 10.5120/ijcad6515f227fc5
%I Foundation of Computer Science (FCS), NY, USA
RedKit is a Security as a Service (SECaaS) platform designed to facilitate penetration testing across the entire life cycle through a microservices architecture. RedKit includes both manual and automated testing. In manual testing, RedKit offers custom-built Docker containers as a pre-configured environ-ment that includes a web proxy ready for testing. In automated testing, RedKit features an AI-driven vulnerability scanner to automate repetitive tests, reducing the effort required of penetra-tion testers. RedKit includes information gathering, reconnais-sance tools, and AI report generation. RedKit integrates all these features into a cloud-based, all-in-one framework, a low-effort solution for end-to-end security assessments. By integrat-ing Docker and merging automated testing with manual testing, RedKit builds a full penetration testing framework with mini-mal resource overhead. By accomplishing 60% of resource management and 90% of time saving for setting up the envi-ronment.