1. A computer-implemented method for automated analysis of web source content, the method comprising: analyzing a web site structure to identify web page documents of the web site; for the web page documents: i. defining text fragments and their types based on content marking by content tags; ii. deriving terms from a dictionary; iii. finding the terms within the text fragments; iv. determining a suspiciousness parameter value of the text by counting a number of terms with a lexical property “suspicious” in the text fragment, wherein the suspiciousness parameter is “true” if a predetermined number of terms with the “suspicious” lexical property is found in the text; v. determining a genre of the web page document; vi. defining thematic properties of the text of the web page document based on the thematic characteristics of terms found in the text; vii. saving the genre and thematic properties of the text in a document index; viii. finding “child” web page documents linked to the web page documents that have the “suspicious” status and assigning the “suspicious” status to the “child” web page documents; ix. repeating analysis of the text of the web page document if the “suspicious” status is changed; determining a genre of the web site based on the genres of the web page documents; saving the site genre property into a site index; calculating a document disallowance parameter based on rules for all of the web site documents with the “suspicious” status and saving the disallowance parameters into web site document indices; assigning a “disallowed” status to the web page documents if its disallowance parameter exceeds a threshold; saving the “disallowed” status to the web page documents into a web page index; finding a document with a maximum value of the disallowance parameter in a web site index and saving the disallowance parameter as a site disallowance parameter; assigning the “disallowed” status to the web site if its disallowance parameter exceeds a threshold; and blocking the web site based on the “disallowed” status of the web site, wherein the rules include the thematic properties of the texts of the web page documents, genre properties of the web page documents and a genre property of the web site.
4. The method of claim 1 , further comprising accounting of the genre in an analyzing algorithm and forming a training set.