1. A computer-implemented method for detecting scam campaigns, the method comprising: identifying a plurality of web pages that are pre-filtered according to predetermined criteria; performing pattern detection on the pre-filtered web pages; extracting at least one of text and an image from one or more of the pre-filtered web pages; performing at least one of natural language processing on the extracted text to derive a meaning of the extracted text and image analysis on the extracted image to recognize an aspect of the image; detecting a pattern among the pre-filtered web pages based on at least one of the derived meaning of the extracted text and the recognized aspect of the image; comparing the detected pattern to a user input; accessing the repository of common scam campaign techniques in real time relative to detecting a user generating the user input; and upon detecting the pattern among the pre-filtered web pages, storing the detected pattern in a database in order to build a repository of common scam campaign techniques.