Utilizing Machine Learning for dynamic content classification of URL content

A method comprising:

• obtaining data from Uniform Resource Locator (URL) transactions monitored by a cloud-based system;
• labeling the data for the URL transactions with a category of a plurality of categories that describe content of a page associated with the URL;
• performing preprocessing of raw Hypertext Markup Language (HTML) files for the URL transactions;
• extracting features from the preprocessed raw HTML files;
• and
• creating a machine learning model based on the features, wherein the machine learning model is configured to score content associated with an unknown URL to determine a category of the plurality of categories.

A node in a cloud-based network comprising:

• one or more processors;
• and
• memory storing instructions that, when executed, cause the one or more processors to obtain data from Uniform Resource Locator (URL) transactions monitored by a cloud-based system;
• label the data for the URL transactions with a category of a plurality of categories that describe content of a page associated with the URL;
• perform preprocessing of raw Hypertext Markup Language (HTML) files for the URL transactions;
• extract features from the preprocessed raw HTML files;
• and
• create a machine learning model based on the features, wherein the machine learning model is configured to score content associated with an unknown URL to determine a category of the plurality of categories.