Methods, apparatuses and computer program products for facilitating detection of malicious content on platforms

An apparatus comprising:

• one or more processors;
• and
• at least one memory storing instructions, that when executed by the one or more processors, cause the apparatus to:
• analyze one or more communications of users associated with a platform;
• implement a machine learning model comprising training data pre-trained, trained in real-time, or periodically trained based on one or more behavior content items associated with one or more accounts associated with the platform and content determined as being malicious;
• determine, by implementing the machine learning model, whether at least one communication of the one or more communications comprise malicious content based on determining at least one score by the machine learning model;
• and
• block the malicious content from being sent to other users of the platform in response to determining that the at least one score denotes that the at least one communication comprises the malicious content.

A non-transitory computer-readable medium storing instructions that, when executed, cause:

• analyzing one or more communications of users associated with a platform;
• implementing a machine learning model comprising training data pre-trained, trained in real-time, or periodically trained based on one or more behavior content items associated with one or more accounts associated with the platform and content determined as being malicious;
• determining, by implementing the machine learning model, whether at least one communication of the one or more communications comprise malicious content based on determining at least one score by the machine learning model;
• and
• blocking the malicious content from being sent to other users of the platform in response to determining that the at least one score denotes that the at least one communication comprises the malicious content.