CompPhish

Label Information: Labels 0 for legitimate and 1 for phishing are used. Information about Features: 70 features are extracted from the raw URLs and their HTML codes. These features cover various types of phishing attacks: URL-based phishing attacks, brand-jacking, phishing sites hosted on compromised domains (PSHCD), and auto-downloadable malicious files links.

Usage: The processed dataset can be used by researchers for further analysis by applying various ML algorithms or feature selection techniques to achieve considerable results. The raw URLs and their HTML source code can also be used for extracting novel features and proposing novel detection methodologies. This version presents additional files to improve the reproducibility for the users (requirements.txt for python library versions, updated Data Dictionary for computational rules/ Thresholds/criteria and example values, additional auxiliary files that are used for computation of some features).

README file gives a description of each file shared on this repository.