Method and system for virtual asset assisted extrusion and intrusion detection and threat scoring in a cloud computing environment

• US 9,686,301 B2
• Filed: 03/11/2016
• Issued: 06/20/2017
• Est. Priority Date: 02/03/2014
• Status: Active Grant

• Current Assignee: Intuit, Inc.
• Original Assignee: Intuit, Inc.
• Inventors: Cabrera, Luis Felipe, Lietz, M. Shannon
• Primary Examiner(s): Abyaneh, Ali
• Assistant Examiner(s): WADE, SHAQUEAL D
• Application Number:
  US15/067,528
• Publication Number:
  US 20160197951A1
• Time in Patent Office: 466 Days
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• CPC Class Codes: H04L 63/107 wherein the security policies are location-dependent, e.g. entities privileges depend on current location or allowing specific operations only from locally connected terminals
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1425 Traffic logging, e.g. anomaly detection
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002

Abstract

An analysis trigger monitoring system is provided in one or more virtual assets. One or more analysis trigger parameters, including security threat patterns, are defined and analysis trigger data is generated. The one or more analysis trigger monitoring systems are used to monitor at least a portion of the message traffic sent to, or sent from, the one or more virtual assets to detect any message including one or more of the one or more analysis trigger parameters. Any detected message is identified as a potential security threat and is assigned a threat score, which is provided to the virtual asset. A copy of at least a portion of any detected message including one or more of the one or more analysis trigger parameters is then transferred to one or more analysis systems for further analysis using a second communication channel.

Claims

1. A system for virtual asset assisted extrusion detection in a cloud computing environment comprising:

one or more processors; and

at least one memory coupled to at least one of the one or more processors, the at least one memory having stored therein instructions which when executed by any set of the one or more processors, perform a process for virtual asset assisted extrusion detection in a cloud computing environment, the process for virtual asset assisted extrusion detection in a cloud computing environment including;

providing a cloud computing environment, the cloud computing environment including one or more virtual assets;

transforming at least one of the one or more of the virtual assets into an extrusion detection capable virtual asset by providing one or more analysis trigger monitoring systems to respective ones of the one or more of the virtual assets;

defining one or more analysis trigger parameters, at least one of the analysis trigger parameters including a delay threshold representing a delay between successive messages sent by the virtual asset that is shorter in duration than a normal duration of delays between transmission of transmissions by a virtual asset, wherein the durations of delays that are shorter than the delay threshold are identified as potential security threats;

generating analysis trigger data representing the analysis trigger parameters;

providing at least part of the analysis trigger data to the one or more analysis trigger monitoring systems of the extrusion detection capable virtual asset;

detecting, by using the one or more analysis trigger monitoring systems and the analysis trigger data, at least one message associated with one or more of the one or more analysis trigger parameters;

classifying one or more portions of the detected at least one message as being suspect, the classified portions of the detected message correlating with at least one of the analysis trigger parameters;

assigning a threat score to the suspect message at least partially based on a potential impact of the suspect message'"'"'s potential security threat on the extrusion detection capable virtual asset;

enabling, by providing the threat score to the extrusion detection capable virtual asset, the extrusion detection capable virtual asset to secure against the suspect message;

for each suspect message, generating suspect message copy data representing a copy of at least a portion of the suspect message; and

transferring the suspect message, copy data to one or more analysis systems for further analysis.

2. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein the suspect message copy data is transferred to the analysis system for further analysis through a message analysis communications channel that is distinct from a network communications channel.

3. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein at least one of the one or more analysis trigger parameters is selected from a group of analysis trigger parameters consisting of:

an IP address indicating a designated suspect destination;

an IP address indicating a designated suspect geographical region;

an IP address indicating a destination not included in an allowed destination list;

an IP address indicating a geographical region not included in an allowed geographical region list;

a message size that exceeds a threshold maximum message size;

a message size that does not meet a threshold minimum message size;

frequency analysis indicating messages arrive at frequency greater than a defined threshold frequency;

frequency analysis indicating messages arrive at frequency less than a defined threshold frequency;

the specific identity of a sender of a specific message;

the specific identity of a recipient of a specific message;

a hash value of the message data that is not included in a list of allowed hash values;

and an MD5 value of the message data that is not included in a list of allowed MD5 values.

4. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein the suspect message copy data associated with a given suspect message is transferred to a specific analysis system of the one or more analysis systems for further analysis based, at least in part, on the specific analysis trigger parameter of the one or more analysis trigger parameters detected in the suspect message.

5. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein when, as a result of the further analysis at the one or more analysis systems, the suspect message is determined to be an extrusion related message, one or more protective actions are automatically implemented.

6. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein defining one or more analysis trigger parameters includes receiving analysis trigger parameters from human analysts.

7. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein defining one or more analysis trigger parameters includes retrieving analysis trigger parameters from an information management security vendor.

8. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein assigning the threat score includes assigning a number of a predetermined range of numbers to the suspect message, wherein a higher number is associated with a higher security priority.

9. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein providing the threat score includes delaying transmission of the threat score based on a priority of the suspect message.

10. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 1, wherein assigning the threat score to the suspect message includes evaluating a service configuration to determine a vulnerability of the extrusion detection capable virtual asset.

11. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 10, wherein the service configuration includes hardware characteristics of a host computing system for the extrusion detection capable virtual asset, and a type of information stored and provided by the extrusion detection capable virtual asset.

12. A system for virtual asset assisted intrusion detection in a cloud computing environment comprising:

one or more processors; and

at least one memory coupled to the one or more processors, the at least one memory having stored therein instructions which when executed by any set of the one or more processors, perform a process for virtual asset assisted intrusion detection in a cloud computing environment, the process for virtual asset assisted intrusion detection in a cloud computing environment including;

providing a cloud computing environment, the cloud computing environment including one or more virtual assets;

transforming at least one of the one or more of the virtual assets into an intrusion detection capable virtual asset by providing one or more analysis trigger monitoring systems to at least one of the one or more of the virtual assets;

defining one or more analysis trigger parameters, at least one of the analysis trigger parameters including a delay threshold representing a delay between successive messages sent by the virtual asset that is shorter in duration than a normal duration of delays between transmission of transmissions by a virtual asset, wherein the durations of delays that are shorter than the delay threshold are identified as potential security threats;

generating analysis trigger data representing the analysis trigger parameters;

providing at least part of the analysis trigger data to the one or more analysis trigger monitoring systems of the intrusion detection capable virtual asset;

using the one or more analysis trigger monitoring systems and the analysis trigger data to monitor at least a portion of message traffic sent to the intrusion detection capable virtual asset to detect any message including one or more of the one or more analysis trigger parameters;

classifying portions of any detected message as a suspect message, when the portions of the detected message correlate with at least one of the analysis trigger parameters;

assigning a threat score to the suspect message at least partially based on the suspect message'"'"'s potential impact on the intrusion detection capable virtual asset;

providing the threat score to the intrusion detection capable virtual asset to enable the intrusion detection capable virtual asset to secure against the suspect message;

for each suspect message, generating suspect message copy data representing a copy of at least a portion of the suspect message; and

transferring the suspect message copy data to one or more analysis systems for further analysis.

13. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein the suspect message copy data is transferred to the analysis system for further analysis through a message analysis communications channel that is distinct from a network communications channel.

14. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein the one or more analysis trigger monitoring systems monitor all of the message traffic sent to their respective intrusion detection capable virtual assets.

15. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein at least one of the one or more analysis trigger parameters is selected from a group of analysis trigger parameters consisting of:

an IP address indicating a designated suspect origin;

an IP address indicating a designated suspect geographical region;

an IP address indicating a destination not included in an allowed origin list;

an IP address indicating a geographical region not included in an allowed geographical region list;

a message size that exceeds a threshold maximum message size;

a message size that does not meet a threshold minimum message size;

frequency analysis indicating messages arrive at frequency greater than a defined threshold frequency;

frequency analysis indicating messages arrive at frequency less than a defined threshold frequency;

the specific identity of a sender of a specific message;

the specific identity of a recipient of a specific message;

a hash value of the message data that is not included in a list of allowed hash values;

and an MD5 value of the message data that is not included in a list of allowed MD5 values.

16. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein the suspect message copy data associated with a given suspect message is transferred to a specific analysis system of the one or more analysis systems for further analysis based, at least in part, on the specific analysis trigger parameter of the one or more analysis trigger parameters detected in the suspect message.

17. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein when, as a result of the further analysis at the one or more analysis systems, the suspect message is determined to be an intrusion related message, one or more protective actions are automatically implemented.

18. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein defining one or more analysis trigger parameters includes receiving analysis trigger parameters from human analysts.

19. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein defining one or more analysis trigger parameters includes retrieving analysis trigger parameters from an information management security vendor.

20. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein assigning the threat score includes assigning a number of a predetermined range of numbers to the suspect message, wherein a higher number is associated with a higher security priority.

21. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein providing the threat score includes delaying transmission of the threat score based on a priority of the suspect message.

22. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 12, wherein assigning the threat score to the suspect message includes evaluating a service configuration to determine a vulnerability of the intrusion detection capable virtual asset.

23. The system for virtual asset assisted intrusion detection in a cloud computing environment of claim 22, wherein the service configuration includes hardware characteristics of a host computing system for the intrusion detection capable virtual asset, and a type of information stored and provided by the intrusion detection capable virtual asset.

24. A system for virtual asset assisted extrusion detection in a cloud computing environment comprising:

a cloud computing environment, the cloud computing environment including one or more virtual assets;

a network communications circuit, the network communications circuit receiving message traffic sent from any of the one or more virtual assets;

a network communications channel through which all the message traffic sent from the one or more virtual assets is relayed through the network communications circuit;

at least one extrusion detection capable virtual asset created by combining one or more analysis trigger software monitoring systems with at least one of the one or more virtual assets;

at least one message analysis communications channel that is distinct from the network communications channel for transferring suspect message copy data to the one or more analysis systems for further analysis;

one or more processors; and

at least one memory coupled to the one or more processors, the at least one memory having stored therein instructions which when executed by any set of the one or more processors, perform a process for virtual asset assisted extrusion detection in a cloud computing environment, the process for virtual asset assisted extrusion detection in a cloud computing environment including;

defining one or more analysis trigger parameters, at least one of the analysis trigger parameters including a delay threshold representing a delay between successive messages sent by the virtual asset that is shorter in duration than a normal duration of delays between transmission of transmissions by a virtual asset, wherein the durations of delays that are shorter than the delay threshold are identified as potential security threats;

generating analysis trigger data representing the analysis trigger parameters;

providing at least part of the analysis trigger data to the one or more analysis trigger software monitoring systems of the extrusion detection capable virtual asset;

using the one or more analysis trigger software monitoring systems and the analysis trigger data to monitor at least a portion of the message traffic sent from the extrusion detection capable virtual asset to detect any message including one or more of the one or more analysis trigger parameters;

classifying portions of any detected message as a suspect message, when the portions of the detected message correlate with at least one of the analysis trigger parameters;

assigning a threat score to the suspect message at least partially based on the suspect message'"'"'s potential impact on the extrusion detection capable virtual asset;

providing the threat score to the extrusion detection capable virtual asset to enable the extrusion detection capable virtual asset to secure against the suspect message;

for each suspect message, generating suspect message copy data representing a copy of at least a portion of the suspect message; and

using the message analysis communications channel to transfer the suspect message copy data to one or more of the one or more analysis systems for further analysis.

25. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein the one or more analysis trigger software monitoring systems monitor all of the message traffic sent from their respective extrusion detection capable virtual assets.

26. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein the one or more analysis trigger software monitoring systems monitor a sample portion of the message traffic sent from their respective extrusion detection capable virtual assets.

27. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein at least one of the one or more analysis trigger parameters is selected from a group of analysis trigger parameters consisting of:

an IP address indicating a designated suspect destination;

an IP address indicating a designated suspect geographical region;

an IP address indicating a destination not included in an allowed destination list;

an IP address indicating a geographical region not included in an allowed geographical region list;

a message size that exceeds a threshold maximum message size;

a message size that does not meet a threshold minimum message size;

frequency analysis indicating messages arrive at frequency greater than a defined threshold frequency;

frequency analysis indicating messages arrive at frequency less than a defined threshold frequency;

the specific identity of a sender of a specific message;

the specific identity of a recipient of a specific message;

a hash value of the message data that is not included in a list of allowed hash values;

and an MD5 value of the message data that is not included in a list of allowed MD5 values.

28. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein the suspect message copy data associated with a given suspect message is transferred to a specific analysis system of the one or more analysis systems for further analysis based, at least in part, on the specific analysis trigger parameter of the one or more analysis trigger parameters detected in the suspect message.

29. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein when, as a result of the further analysis at the one or more analysis systems, the suspect message is determined to be an extrusion related message, one or more protective actions are automatically implemented.

30. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein defining one or more analysis trigger parameters includes receiving analysis trigger parameters from human analysts.

31. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein defining one or more analysis trigger parameters includes retrieving analysis trigger parameters from an information management security vendor.

32. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein assigning the threat score includes assigning a number of a predetermined range of numbers to the suspect message, wherein a higher number is associated with a higher security priority.

33. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein providing the threat score includes delaying transmission of the threat score based on a priority of the suspect message.

34. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 24, wherein assigning the threat score to the suspect message includes evaluating a service configuration to determine a vulnerability of the extrusion detection capable virtual asset.

35. The system for virtual asset assisted extrusion detection in a cloud computing environment of claim 34, wherein the service configuration includes hardware characteristics of a host computing system for the extrusion detection capable virtual asset, and a type of information stored and provided by the extrusion detection capable virtual asset.