MULTILEVEL INTENT ANALYSIS METHOD FOR EMAIL FILTRATION

• US 20090300012A1
• Filed: 05/28/2008
• Published: 12/03/2009
• Est. Priority Date: 05/28/2008
• Status: Abandoned Application

• Current Assignee: Barracuda Group
• Original Assignee: Barracuda Group
• Inventors: Drako, Dean, Levow, Zachary
• Application Number:
  US12/128,286
• Publication Number:
  US 20090300012A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 51/212 using filtering or selective blocking

Abstract

A method for filtering email which contains links to uniform resource identifiers which disguise the content and identity of spam sites by multiple serial redirection.

Claims

1. A method, tangibly embodied as a program product encoded on computer readable media, for analyzing a document to determine if the document fits in a category, the method comprising the steps of:

extracting at least one uniform resource identifiers (uri) from a first document;

following a uri from a first document to a second document or a redirect;

extracting a uri from the redirect or the second document;

matching said extracted uri with a member of a database; and

determining said first document fits in the category associated with the uri found in said database.

2. The method of claim 1 wherein matching uses a regular expression or a partial match.

3. The method of claim 1 wherein matching uses algorithms to determine a website from a URI before matching to the database.

4. The method of claim 3 wherein determining a website comprises steps of pruning at least one of a prefix and a suffix appended to a website.

5. A method, tangibly embodied as a program product encoded on computer readable media, for analyzing a document to determine if the document fits in a category, the method comprising the steps of

extracting at least one link from a document;

following a link from the document to a second document or redirect;

extracting a text string from a redirect on the second document;

matching a text string extracted from a redirect with a member of a database; and

determining said first document fits in the category associated with the text string found in the database.

6. A method for analyzing a document comprising the steps of

selecting links,

following links,

matching links in a database, and

operating on a document wherein operating on a document comprises the process of causing the document to be blocked, deleted, diverted to a spam mailbox, marked with warning messages, tagged with a string, sterilized, quarantined, or modified, depending on the grade value;

or notifying user of category.

7. The method of claim 6 further comprising

passing it on to one of an addressee, a user agent, a mail server, a gateway, and another filter, if an analysis determines that the document is not likely to be spam.

8. The method of claim 6 wherein selecting links comprises the process of pattern matching to identify at least one of the following:

any uri embedded in an email,

a uri of a certain top level domain,

a uri not of a certain top level domain,

a uri matching a first category of a database,

a uri matching a second category of a database, and

a uri matching a third category of a database;

wherein a uri is a uniform resource identifier.

9. The method of claim 6 wherein following links comprises the steps of requesting a resource by one of the following using the protocol and hierarchical path of a uri as a user would by clicking and a browser would in displaying a document;

receiving at least one of codes, scripts, content, and redirection instructions from the server; and

analyzing at least one of codes, scripts, content, and redirection instructions for additional uri'"'"'s, wherein a document is a electronic file containing at least one universal resource identifier (uri).

10. The method of claim 9 wherein following links further comprises the step of neutering text strings appended to the end of a uri which relate to an individual email recipient before requesting the resource.

11. A method for matching links comprising the steps of:

extracting a domain name from a uri received with a redirection instruction and matching the domain name with one of a first category of websites in a database.

12. The method of claim 11 where the database comprises a first category of websites wherein said first category of websites are herein defined as spam websites wherein spam websites are websites hosting messages stored for display to recipients of unsolicited bulk email commonly referred to as spam.

13. The method for matching links of claim 11 further comprising matching the domain name with one of a second category of websites in a database.

14. The method of claim 11 wherein the database further comprises a second category of “

follow websites”

wherein said second category are herein defined to be complimentary web hosts whereby anonymous users may freely publish content comprising at least one of scripts, hypertext documents, and redirection instructions.

15. The method of matching links of claim 11 further comprising matching the domain name and special code, special page or identifiable text with one of a third category of tidied websites in a database

16. The method of claim 11 wherein the database further comprises a third category of websites wherein said third category are herein defined to be tidied websites and special codes, special pages, and special text whereby a tidied website manager indicates that requested content has been purposefully removed.

17. A method for email client multilevel content filtering of electronic documents, comprising the following processes:

analyzing at least one electronic document to extract at least one embedded uniform resource identifier (uri);

extracting a website from the uri;

operating on the electronic document if at least one website embedded in the document matches with a database.

18. The method of claim 17 further comprising the steps of:

fetching status and content data from the uri location;

extracting another website if the status or content suggest redirection,

operating on the electronic document if the website alone or the website and the status code matches with a database; and

continuing the processes above until there is a match or every website referenced directly or indirectly has been examined.

19. A method comprising the steps following:

scanning an electronic document for at least one embedded uniform resource identifier; and

querying a database of categorized uniform resource identifiers to determine if the embedded uniform resource identifier matches.

20. The method of claim 19 further comprising the process of traversing at least one embedded uniform resource identifier wherein traversing comprises emulating a browser in requesting at least one resource through an internet protocol and receiving at least one response.

21. The method of claim 19 further comprising the process of traversing a plurality of embedded uniform resource identifiers wherein traversing comprises emulating a browser and requesting a first resource through an internet protocol and requesting a second resource based on a redirection received in response to the request for the first resource and repeating the process if necessary whereby a series of redirections is resolved to a target website.

22. The method of claim 21 further comprising querying the database to determine if a uniform resource identifier used in redirection has the characteristic of a categorized uniform resource identifier.

23. The method of claim 21 wherein redirection comprises a process selected from the following group:

receiving a 3xx http status code wherein x is a numeral;

receiving and resolving a refresh meta tag;

receiving and resolving an http refresh header;

receiving and resolving a Javascript redirect; and

receiving and resolving a frame redirect.

24. The method of claim 21 further comprising receiving an http error status code in response to traversing a uniform resource identifier wherein an http error status code comprises one of 4xx and 5xx wherein x is a numeral.

25. The method of claim 21 further comprising receiving at least one document and analyzing the document for at least one link found in a database of categorized websites.

26. The method of claim 25 wherein analyzing comprises scanning for a pattern expression which suggests navigating to a website and matching the website in a database of known spam uniform resource identifiers.

27. The method of claim 25 wherein analyzing comprises scanning for a pattern expression which suggests a Javascript redirection and matching the redirection in a database of known spam uniform resource identifiers.

28. The method of claim 25 wherein analyzing comprises scanning for a pattern expression which suggests an obfuscated Javascript.

29. The method of claim 25 wherein analyzing comprises scanning for manual instructions to navigate to a website in a database of known spam uri.

30. The method of claim 25 further comprising operating on the electronic mail document wherein operating is selected from the following group:

editing the content of the document, blocking the document, inserting a tag into the document, responding to the sender of the document, setting a score, forwarding the document, calling a function with meta data extracted from the document, lowering the priority of the document, bouncing the document, and disconnecting from the source of the document.

31. An article of manufacture comprising computer readable media on which is encoded instructions adapted to control a processor in matching a pattern expression of categorized uniform resource identifiers.

32. A computing system for multilevel domain redirection analysis comprising a processor adapted to perform the methods following coupled to a storage in which is tangibly encoded computer readable instructions which adapt the processor to access a database of categorized websites and analyze an electronic document to extract an embedded uniform resource identifier;

extract a website from the uri;

match the website with a database of categorized websites;

fetch data at the uri location;

if there is redirection, extract another website, if there is a match, take action on the electronic document, and exhausting all the uri'"'"'s embedded in a document.