System and method for detection, translation, and categorization of visual content associated with malicious electronic communication

A computer program product for detecting, translating, and categorizing visual content associated with malicious electronic communication, the computer program product comprising a non-transitory computer-readable storage medium having computer executable instructions for causing a computer processor to perform the steps of:

• establishing a communication link with one or more third party systems;
• continuously monitoring one or more electronic communications associated with the one or more third party systems;
• detecting at least one electronic communication from the one or more electronic communications that meets one or more triggers, wherein the one or more triggers comprise identification of at least one of an entity name, entity logo, currency logo, currency images, and one or more predefined phrases;
• analyzing the at least one electronic communication to translate the at least one electronic communication to text, via optical character recognition and natural language processing;
• and
• categorizing the at least one electronic communication based on the text associated with the at least one electronic communication, wherein categorizing the at least one electronic communication comprises assigning one or more exposure tags to the at least one electronic communication, wherein the one or more exposure tags comprise low exposure tag, medium exposure tag, and high exposure tag.

A computer implemented method for detecting, translating, and categorizing visual content associated with malicious electronic communication, wherein the method comprises:

• establishing a communication link with one or more third party systems;
• continuously monitoring one or more electronic communications associated with the one or more third party systems;
• detecting at least one electronic communication from the one or more electronic communications that meets one or more triggers, wherein the one or more triggers comprise identification of at least one of an entity name, entity logo, currency logo, currency images, and one or more predefined phrases;
• analyzing the at least one electronic communication to translate the at least one electronic communication to text, via optical character recognition and natural language processing;
• and
• categorizing the at least one electronic communication based on the text associated with the at least one electronic communication, wherein categorizing the at least one electronic communication comprises assigning one or more exposure tags to the at least one electronic communication, wherein the one or more exposure tags comprise low exposure tag, medium exposure tag, and high exposure tag.