Dynamic content activation for automated analysis of embedded objects
View Patent ↗According to one embodiment, a threat detection platform is integrated with at least one virtual machine that automatically performs a dynamic analysis of a received document object and monitors the processing during the dynamic analysis. The dynamic analysis includes a detection of embedded objects and may automatically process the embedded objects, while maintaining a context of the embedding, within the virtual machine processing the document object. The virtual machine may monitor the processing of both the document object and the embedded object. The results of the processing may be analyzed to determine whether the document object includes malware and/or a threat level of the document object.
1. A non-transitory computer readable storage medium having stored thereon logic that, upon execution by one or more processors implemented within a network device, performs operations during processing of a first object in a virtual machine, comprising:
launching the first object in the virtual machine;
querying a document object model corresponding to an object-type of the first object to determine whether an embedded object is included in the first object;
responsive to querying the document object model, receiving metadata associated with the embedded object, the metadata including an object-type of the embedded object;
responsive to determining the object-type of the embedded object is one of a predetermined set of object-types based on the metadata, processing the embedded object in the virtual machine; and
determining whether at least one of the first object or the embedded object is malicious.
2. The non-transitory computer readable storage medium of claim 1 , wherein the processing of the embedded object includes launching the embedded object to place the embedded object in an activated state and subsequently processing the activated embedded object.
3. The non-transitory computer readable storage medium of claim 1 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
prior to processing the first object in the virtual machine, launching the first object in a plurality of versions of a first application.
4. The non-transitory computer readable storage medium of claim 3 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
monitoring the processing of the first object for suspicious activity; and
when no suspicious activity has been observed within a predetermined amount of time and prior to querying the document object model, selecting a version of the plurality of versions of the first application to utilize when querying the document object model.
5. The non-transitory computer readable storage medium of claim 1 , wherein the launching of the embedded object is performed through an automation framework interface.
6. The non-transitory computer readable storage medium of claim 5 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
7. The non-transitory computer readable storage medium of claim 1 , wherein based on the processing of the first object and the processing of the embedded object, a threat level is determined.
8. The non-transitory computer readable storage medium of claim 1 , wherein, during the processing of the embedded object, a secondary embedded object is detected within the embedded object.
9. The non-transitory computer readable storage medium of claim 8 , wherein, whether processing of the secondary embedded object is performed is determined based on information in a configuration file.
10. The non-transitory computer readable storage medium of claim 9 , wherein the configuration file may be updated based on information received over a network.
11. The non-transitory computer readable storage medium of claim 1 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
storing metadata of the embedded object in an event log.
12. The non-transitory computer readable storage medium of claim 11 , wherein the metadata is used to generate one or more signatures.
13. A system for detecting malware during processing of a first object in a virtual machine, the system comprising:
one or more processors; and
a storage module communicatively coupled to the one or more processors, the storage module comprising logic executed by the one or more processors, the logic comprising:
a launcher that launches the first object in a plurality of versions of the first application processed in the virtual machine;
an identification agent that utilizes an automation framework interface to query a document object model corresponding to the object-type of the first object to determine whether an embedded object is included with the first object and to receive metadata of the embedded object based on the query to the document object model, the metadata including an object-type of the embedded object, the identification agent further selects one version of the plurality of versions of the first application to utilize when (i) querying the document object model and (ii) no suspicious activity is observed within a predetermined amount of time; and
an activation agent for launching the embedded object in a second application in the virtual machine.
14. The system of claim 13 , wherein the activation agent, when launching the embedded object, places the embedded object in an activated state and processes the activated embedded object.
15. The system of claim 13 , wherein the identification agent determines the object-type of the embedded object is one of a predetermined set of object-types.
16. The system of claim 13 , wherein the activation agent launches the embedded object by utilizing the automation framework interface of the first application.
17. The system of claim 16 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
18. The system of claim 13 , wherein the first application is dependent on the object-type of the first object and the second application is dependent on the object-type of the embedded object.
19. A computerized method detecting malware associated with a first object being processed in a virtual machine, the method comprising:
launching the first object in the virtual machine;
querying a document object model corresponding to an object-type of the first object to determine whether an embedded object is included in the first object;
receiving metadata associated with the embedded object based on the querying of the document object model, the metadata including an object-type of the embedded object;
responsive to determining the object-type of the embedded object is one of a predetermined set of object-types based on the metadata, processing the embedded object in the virtual machine; and
determining whether at least one of the first object or the embedded object is malicious.
20. The computerized method of claim 19 , wherein the processing of the embedded object includes launching the embedded object to place the embedded object in an activated state and subsequently processing the activated embedded object.
21. The computerized method of claim 19 further comprising:
prior to processing the first object in the virtual machine, launching the first object in a plurality of versions of a first application.
22. The computerized method of claim 21 , wherein when no suspicious activity is observed within a predetermined amount of time, selecting one version of the plurality of versions of the first application to utilize when querying the document object model.
23. The computerized method of claim 21 , wherein the launching of the embedded object is performed by utilization of an automation framework interface.
24. The computerized method of claim 23 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
25. The computerized method of claim 19 , wherein based on the processing of the first object and the processing of the embedded object, a threat level is determined.
26. The computerized method of claim 19 , wherein, during the processing of the embedded object, a secondary embedded object is detected within the embedded object.
27. The computerized method of claim 26 , wherein, whether processing of the secondary embedded object is performed is determined based on information in a configuration file.
28. The computerized method of claim 27 , wherein the configuration file may be updated based on information received over a network.
29. The computerized method of claim 19 , further comprising:
storing metadata of the embedded object in an event log.
30. The computerized method of claim 29 , wherein the metadata is used to generate one or more signatures.
31. The non-transitory computer readable storage medium of claim 1 , wherein the metadata further includes an object-type of the embedded object, and the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
responsive to determining the location of the embedded object based on the metadata, directing the processing of the first object to a portion of first object including the location of the embedded object, the portion of the first object being less than an entirety of the first object.
32. The non-transitory computer readable storage medium of claim 1 , wherein the embedded object is a Uniform Resource Locator (URL).
33. The non-transitory computer readable storage medium of claim 2 , wherein the activating and the processing of the embedded object includes maintaining a context of embedding the embedded object in the first object.
34. A non-transitory computer readable storage medium having stored thereon logic that, upon execution by one or more processors implemented within a network device, performs operations during processing a first object in a virtual machine, comprising:
launching the first object in the virtual machine;
querying a document object model corresponding to an object-type of the first object to determine whether an embedded object is included in the first object;
responsive to querying the document object model, receiving metadata associated with the embedded object, the metadata including a location of the embedded object within the first object;
responsive to determining the location of the embedded object based on the metadata, directing processing of the first object to a portion of the first object including the location of the embedded object, the portion of the first object being less than an entirety of the first object;
processing the embedded object; and
determining whether at least one of the first object or the embedded object is malicious.
35. The non-transitory computer readable storage medium of claim 34 , wherein the processing of the embedded object includes launching the embedded object to place the embedded object in an activated state and subsequently processing the activated embedded object.
36. The non-transitory computer readable storage medium of claim 34 , wherein the embedded object is a Uniform Resource Locator (URL).
37. The non-transitory computer readable storage medium of claim 34 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
launching the first object in a plurality of versions of a first application.
38. The non-transitory computer readable storage medium of claim 37 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
monitoring the processing of the first object for suspicious activity; and
when no suspicious activity has been observed within a predetermined amount of time and prior to querying the document object model, selecting a version of the plurality of versions of the first application to utilize when querying the document object model.
39. The non-transitory computer readable storage medium of claim 34 , wherein the launching of the embedded object is performed through an automation framework interface.
40. The non-transitory computer readable storage medium of claim 39 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
41. The non-transitory computer readable storage medium of claim 34 , wherein based on the processing of the first object and the processing of the embedded object, a threat level is determined.
42. The non-transitory computer readable storage medium of claim 34 , wherein, during the processing of the embedded object, a secondary embedded object is detected within the embedded object.
43. The non-transitory computer readable storage medium of claim 42 , wherein, whether processing of the secondary embedded object is performed is determined based on information in a configuration file.
44. The non-transitory computer readable storage medium of claim 43 , wherein the configuration file may be updated based on information received over a network.
45. The non-transitory computer readable storage medium of claim 34 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
storing metadata of the embedded object in an event log.
46. The non-transitory computer readable storage medium of claim 45 , wherein the metadata is used to generate one or more signatures.
47. A system for detecting malware during processing of a first object in a virtual machine, the system comprising:
one or more processors; and
a storage module communicatively coupled to the one or more processors, the storage module comprising logic executed by the one or more processors, the logic comprising:
a launcher that launches the first object in a plurality of versions of the first application processed in the virtual machine;
an identification agent that utilizes an automation framework interface to query a document object model corresponding to the object-type of the first object to determine whether an embedded object is included with the first object and to receive metadata of the embedded object based on the query to the document object model, the metadata including a location of the embedded object in the first object, the identification agent further selects one version of the plurality of versions of the first application to utilize when (i) querying the document object model and (ii) no suspicious activity is observed within a predetermined amount of time; and
an activation agent for launching the embedded object in a second application in the virtual machine.
48. The system of claim 47 , wherein the activation agent, when launching the embedded object, places the embedded object in an activated state for processing within the virtual machine.
49. The system of claim 47 , wherein the embedded object is a Uniform Resource Locator (URL).
50. The system of claim 47 , wherein the processing of the embedded object includes launching the embedded object to place the embedded object in an activated state and subsequently processing the activated embedded object.
51. The system of claim 47 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
launching the first object in a plurality of versions of a first application.
52. The system of claim 51 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
monitoring the processing of the first object for suspicious activity; and
when no suspicious activity has been observed within a predetermined amount of time and prior to querying the document object model, selecting a version of the plurality of versions of the first application to utilize when querying the document object model.
53. The system of claim 47 , wherein the launching of the embedded object is performed through an automation framework interface.
54. The system of claim 53 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
55. The system of claim 47 , wherein based on the processing of the first object and the processing of the embedded object, a threat level is determined.
56. The system of claim 47 , wherein, during the processing of the embedded object, a secondary embedded object is detected within the embedded object.
57. The system of claim 56 , wherein, whether processing of the secondary embedded object is performed is determined based on information in a configuration file.
58. The system of claim 57 , wherein the configuration file may be updated based on information received over a network.
59. The system of claim 47 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
storing metadata of the embedded object in an event log.
60. The system of claim 59 , wherein the metadata is used to generate one or more signatures.
61. A computerized method detecting malware associated with a first object being processed in a virtual machine, the method comprising:
launching the first object in the virtual machine;
querying a document object model corresponding to an object-type of the first object to determine whether an embedded object is included in the first object;
responsive to querying the document object model, receiving metadata associated with the embedded object, the metadata including a location of the embedded object;
responsive to determining the location of the embedded object based on the metadata, directing processing of the first object to a portion of the first object including the location of the embedded object, the portion of the first object being less than an entirety of the first object;
processing the embedded object; and
determining whether at least one of the first object or the embedded object is malicious.
62. The computerized method of claim 61 , wherein the processing of the embedded object includes launching the embedded object to place the embedded object in an activated state and subsequently processing the activated embedded object.
63. The computerized method of claim 61 , wherein the embedded object is a Uniform Resource Locator (URL).
64. The computerized method of claim 61 , wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
prior to processing the first object in the virtual machine, launching the first object in a plurality of versions of a first application.
65. The computerized method of claim 64 , wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
monitoring the processing of the first object for suspicious activity; and
when no suspicious activity has been observed within a predetermined amount of time and prior to querying the document object model, selecting a version of the plurality of versions of the first application to utilize when querying the document object model.
66. The computerized method of claim 61 , wherein the launching of the embedded object is performed through an automation framework interface.
67. The computerized method of claim 66 , wherein when the first object is a document of a text processor, the automation framework interface uses a packager tool to launch the embedded object.
68. The computerized method of claim 61 , wherein based on the processing of the first object and the processing of the embedded object, a threat level is determined.
69. The computerized method of claim 61 , wherein, during the processing of the embedded object, a secondary embedded object is detected within the embedded object.
70. The computerized method of claim 69 , wherein, whether processing of the secondary embedded object is performed is determined based on information in a configuration file.
71. The computerized method of claim 70 , wherein the configuration file may be updated based on information received over a network.
72. The computerized method of claim 61 wherein the logic, upon execution by the one or more processors implemented within the network device, further performs operations comprising:
storing metadata of the embedded object in an event log.
73. The computerized method of claim 72 , wherein the metadata is used to generate one or more signatures.