Research Article
An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models
Table 1
Features present in the dataset.
| # | Attribute | Description |
| 1 | url | URL of the website | 2 | ip_add | The IP address of the website | 3 | geo_loc | The geographical location where the website is being hosted | 4 | url_len | Length of the URL of the website | 5 | js_len | Length of JavaScript code present on the website | 6 | js_obf_len | Length of the obfuscated JavaScript code present on the website | 7 | tld | Top-Level domain of the website | 8 | who_is | WHO IS domain information is complete or no | 9 | https | Website is HTTPS protocol using | 10 | Content | Raw web page content with JavaScript code | 11 | Label | Label for indicating if the website is malicious or benign |
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