2. Related Work Several studies were conducted on malicious URL detection and classification using various machine learning methods. These studies contributed to understanding the effective approaches and techniques for identifying and classifying malicious URLs. In a study conducted by Li et al. [10], a dataset comprising approximately 52,000 URLs was analyzed. This dataset was divided so that 70% was used for model training, and the remaining 30% was used for validation and testing.
