This dataset encompasses a comprehensive collection of over 800,000 URLs, meticulously curated to provide a diverse representation of online domains. Within this extensive corpus, approximately 52% of the domains are identified as legitimate, reflective of established and trustworthy entities within the digital landscape. Conversely, the remaining 47% of domains are categorized as phishing domains, indicative of potential threats and malicious activities.

Structured with precision, the dataset comprises two key columns: "url" and "status". The "url" column serves as the primary identifier, housing the uniform resource locators (URLs) for each respective domain. Meanwhile, the "status" column employs binary encoding, with values represented as 0 and 1. Herein lies a crucial distinction: a value of 0 designates domains flagged as phishing, signaling a potential risk to users, while a value of 1 signifies domains deemed legitimate, offering assurance and credibility. Additionally paramount importance is the careful balance maintained between these two categories. With an almost equal distribution of instances across phishing and legitimate domains, this dataset mitigates the risk of class imbalance, ensuring robustness and reliability in subsequent analyses and model development. This deliberate approach fosters a more equitable and representative dataset, empowering researchers and practitioners in their endeavors to understand, combat, and mitigate online threats.