The most fundamental requirement these days is the internet. Additionally, we must loop through a number of URLs in order to retrieve any type of information (Uniform Resource Locators). Therefore, it is crucial to confirm that those URLs are safe and won’t harm the computer. Advances in cloud and Internet technology have contributed to a notable rise in electronic trade in recent years, where customers conduct transactions and purchases online. This expansion harms an enterprise’s resources by allowing unauthorised access to sensitive user data. Any manner, Malicious URL detection is a difficult yet interesting issue. Scammers mostly create URLs by implementing incredibly complex adjustments, and researchers must identify them while keeping in mind how the produced URLs behave. There are several techniques for phishing detection in the anti-malware space, while URL-based schemes are more secure and more practical for two reasons: zero-hour detection capabilities and the elimination of the need to visit rogue websites. Hybrid ensemble-based machine learning technology is the foundation of this work.