System and method for detecting and classifying malware
A network device may include a memory and one or more processors configured to analyze execution of suspicious data; detect one or more states of execution of the suspicious data; determine that the one or more states of execution are to be assigned a priority level; and extract at least a portion of the suspicious data from one or more locations based on determining that the one or more states of execution are to be assigned a priority level.
1. A device, comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, to:
analyze execution of suspicious data,
where the suspicious data is packed prior to execution;
detect one or more states of execution of the suspicious data;
determine that the one or more states of execution are to be assigned a priority level; and
extract at least a portion of the suspicious data from one or more locations based on determining that the one or more states of execution are to be assigned a priority level.
2. The device of claim 1 , where the one or more states of execution include an application programming interface call.
3. The device of claim 1 , where the one or more states of execution include a parameter passed to an application programming interface call.
4. The device of claim 1 , where the one or more processors are further to:
assign the priority level.
5. The device of claim 4 , where the one or more processors, when assigning the priority level, are to:
assign the priority level based on at last one previous state of execution of the suspicious data.
6. The device of claim 1 , where the one or more processors are further to:
determine the one or more locations based on the one or more states of execution.
7. The device of claim 1 , where the portion includes less than all of the suspicious data.
8. The device of claim 7 , where the one or more processors, when determining that the priority level is to be assigned, are to:
determine that the priority level is to be assigned based on heuristics.
9. The device of claim 7 , where the one or more processors, when determining that the priority level is to be assigned, are to:
determine that the priority level is to be assigned based on a machine learning technique.
10. The device of claim 1 , where the one or more processors, when analyzing execution of the suspicious data, are to:
analyze execution of the suspicious data in a virtualized environment.
11. A method, comprising:
analyzing, by a device, execution of suspicious data,
where the suspicious data is packed prior to execution;
detecting, by the device, one or more states of execution of the suspicious data;
determining, by the device, that the one or more states of execution are to be assigned a priority level; and
extracting, by the device, at least a portion of the suspicious data from one or more locations based on determining that the one or more states of execution are to be assigned a priority level.
12. The method of claim 11 , where the analyzing is performed in a virtualized environment.
13. The method of claim 11 , where the determination is based on a comparison of execution of the suspicious data in a virtualized environment and in an emulated environment.
14. The method of claim 11 , where the one or more states of execution include at least one of:
an application programming interface call,
a parameter associated with an application programming interface call,
a stateful condition, or
a non-stateful condition.
15. The method of claim 14 , where the determination is based on information identifying priority levels and corresponding states of execution.
16. The method of claim 14 , where the determination is based on at least one string of the suspicious data.
17. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to:
analyze execution of suspicious data,
where the suspicious data is packed prior to execution;
detect one or more states of execution of the suspicious data;
determine that the one or more states of execution are to be assigned a priority level that indicates that a portion of the suspicious data is to be extracted or removed; and
extract or remove the portion of the suspicious data from one or more locations based on determining that the one or more states of execution are to be assigned a priority level.
18. The non-transitory computer-readable medium of claim 17 , where the one or more instructions, that cause the one or more processors to detect the one or more states of execution, cause the one or more processors to:
detect the one or more states of execution based on a string included in the suspicious data.
19. The non-transitory computer-readable medium of claim 17 , where the one or more instructions, that cause the one or more processors to determine that the one or more states of execution are to be assigned the priority level, cause the one or more processors to:
determine that the one or more states of execution are to be assigned the priority level based on an evasive technique in connection with the suspicious data.
20. The non-transitory computer-readable medium of claim 17 , where the suspicious data comprises a malware executable.