PhishFOE Dataset

The PhishFOE Dataset is a comprehensive dataset designed for phishing URL detection using machine learning techniques. The dataset contains 101,083 URLs, with labeled features extracted from both the URL structure and HTML content of webpages. It provides insights into key characteristics that distinguish phishing websites from legitimate ones.Total Samples: 101,083Label: 0 for Legitimate, 1 for PhishingNumber of Features: 32This dataset can be utilized for training and testing machine learning models for phishing website detection, feature analysis, and security research.

PhishFOE 数据集（PhishFOE Dataset）是一款专为采用机器学习技术开展钓鱼URL检测而构建的综合数据集。该数据集包含101,083条URL，提取了源自URL结构与网页HTML内容的带标注特征，可用于剖析区分钓鱼网站与合法网站的关键特性。总样本量：101,083；标签定义：0代表合法网站，1代表钓鱼网站；特征数量：32个。本数据集可用于训练、测试钓鱼网站检测相关机器学习模型，亦可应用于特征分析与网络安全领域研究。