Granted Patent B2

US 8,474,036 · App. 12/216,135 · Granted Jun 25, 2013

Abstract

Claims (34)

1. A computer-based method for detecting an unauthorized action in a database, the method comprising estimating, by a computing device, correlation between a predicted result of an intercepted database statement and at least one context parameter indicating an origin of the database statement, wherein lack of correlation indicates the database statement being associated with an unauthorized action.

2. The method according to claim 1 , wherein the estimating of the correlation comprises determining if the predicted result should originate, under normal circumstances, from the at least one context parameter.

3. The method according to claim 1 , wherein the estimating of the correlation comprises matching the predicted result and the at least one context parameter with a pre-defined criteria.

4. The method according to claim 1 , wherein the predicted result comprises a predicted effect of the database statement on the database.

5. The method according to claim 1 , wherein the intercepted database statement comprises a database statement intercepted in a memory of a database server.

6. The method according to claim 1 , wherein the intercepted database statement comprises a database statement intercepted in a network channel.

7. The method according to claim 1 , wherein the intercepted database statement comprises a Structured Query Language (SQL) statement.

8. The method according to claim 1 , wherein the at least one context parameter comprises at least one privilege of a user of the database.

9. The method according to claim 8 , wherein the user of the database comprises a user account designated to a database package.

10. The method according to claim 1 , wherein the at least one context parameter comprises at least one parameter pertaining to an end-user of an application server associated with the database.

11. The method according to claim 10 , wherein the at least one parameter pertaining to the end-user is selected from a group consisting of an Internet Protocol (IP) address, a network identifier, a username, a Uniform Resource Locator (URL), a Hypertext Transfer Protocol (HTTP) request method, a user-agent string, a screen resolution, a window size, a window location, a color depth, a network group, permissions, a domain and an operating system.

12. The method according to claim 1 , further comprising preventing execution of the database statement, if the database statement is indicated as being associated with the unauthorized action.

13. The method according to claim 1 , further comprising reporting the unauthorized action, if the database statement is indicated as being associated with the unauthorized action.

14. A non-transitory database intrusion detector, comprising:

a computing device including an interception module adapted to intercept a database statement prior to its execution in a database;

an interface module adapted to obtain at least one context parameter indicating an origin of said database statement; and

control logic adapted to predict a result of said database statement and to estimate correlation between said at least one context parameter and said result, wherein lack of correlation indicates the database statement being associated with an intrusion to the database.

15. The database intrusion detector according to claim 14 , wherein said database statement comprises a database statement intercepted by said interception module in a memory of a database server.

16. The database intrusion detector according to claim 14 , wherein said database statement comprises a database statement intercepted by said interception module in a network channel.

17. The database intrusion detector according to claim 14 , wherein said database statement comprises a Structured Query Language (SQL) statement.

18. The database intrusion detector according to claim 14 , wherein said at least one context parameter comprises at least one privilege of a user of the database.

19. The database intrusion detector according to claim 18 , wherein the user of the database comprises a user account designated to a database package.

20. The database intrusion detector according to claim 14 , wherein said at least one context parameter comprises at least one parameter pertaining to an end-user of an application server associated with the database.

21. The database intrusion detector according to claim 20 , wherein said at least one parameter pertaining to the end-user is selected from a group consisting of an Internet Protocol (IP) address, a network identifier, a username, a Uniform Resource Locator (URL), a Hypertext Transfer Protocol (HTTP) request method, a user-agent string, a screen resolution, a window size, a window location, a color depth, a network group, permissions, a domain and an operating system.

22. The database intrusion detector according to claim 14 , wherein said result comprises a predicted effect of said database statement on the database.

23. The database intrusion detector according to claim 14 , wherein said estimating of correlation comprises determining if said result should originate, under normal circumstances, from said at least one context parameter.

24. The database intrusion detector according to claim 14 , wherein said estimating of correlation comprises matching said result and said at least one context parameter with a pre-defined criteria.

25. The database intrusion detector according to claim 14 , wherein said control logic is further adapted to prevent execution of said database statement, if said database statement is indicated as being associated with the unauthorized action.

26. The database intrusion detector according to claim 14 , wherein said control logic is further adapted to report the unauthorized action, if said database statement is indicated as being associated with the unauthorized action.

27. A computing system comprising:

a computing device configured to estimate correlation between a predicted result of an intercepted database statement and at least one context parameter indicating an origin of the database statement, and based on said correlation to determine that the database statement is associated with an unauthorized action.

28. The computing system of claim 27 , wherein said computing device is to estimate said correlation by determining if said result should originate, under normal circumstances, from said at least one context parameter.

29. The computing system of claim 27 , wherein said computing device is to estimate said correlation by matching said result and said at least one context parameter with a pre-defined criteria.

30. The computing system of claim 27 , wherein the at least one context parameter comprises at least one privilege of a user of the database.

Assignments (13)