Data extraction system for malware analysis
According to one embodiment, a computerized method features monitoring behaviors of an object during processing within a guest system of a virtual machine. Within a guest system, a rule-based analysis of data associated with the monitored behaviors is conducted. The rule-based analysis includes prioritizing data associated with the monitored behaviors that correspond to an exception, and thereafter, storing the data associated with the monitored behaviors that correspond to the exception into a prescribed area of a virtual image file. The prescribed area is accessible by (i) logic within the guest system and (ii) logic within a host system of the virtual machine.
1. A computerized method comprising:
monitoring behaviors of an object during processing within a guest system of a virtual machine;
storing data associated with the monitored behaviors;
conducting a rule-based analysis of the data associated with the monitored behaviors within the guest system to generate post-analysis data, wherein the rule-based analysis includes prioritizing the data associated with the monitored behaviors that correspond to one or more exceptions to produce the post-analysis data; and
storing the post-analysis data into a prescribed area of a virtual image file being an image of software running on the guest system, the prescribed area is accessible by both (i) data availability logic within the guest system and (ii) data access logic within a host system of the virtual machine, the data availability is configured to conduct the rule-based analysis of the data associated with the monitored behaviors and the data access logic is configured to extract the content within the prescribed area of the virtual image file and filter the content within the prescribed area to recover the data associated with the monitored behaviors that correspond to an exception of the one or more exceptions,
wherein a priority assigned to data associated with the monitored behaviors is considered when determining what data is to be stored as part of the post-analysis data.
2. The computerized method of claim 1 , wherein an exception of the one or more exceptions corresponds to a malware exception that includes a newly created objector an altered object that causes a change to a registry value.
3. The computerized method of claim 1 , wherein an exception of the one or more exceptions includes a memory exception that comprises a certain memory type or a modification of certain stored content within the guest system.
4. The computerized method of claim 1 , wherein an exception of the one or more exceptions includes an artifact exception that identifies an occurrence in certain anomalous behaviors.
5. The computerized method of claim 1 , wherein the post-analysis data is a subset of the data associated with the monitored behaviors.
6. The computerized method of claim 1 , wherein an exception of the one or more exceptions corresponds to a malware exception that includes a newly created objector an altered object that causes a change in a stored setting.
7. A network device comprising:
a processor; and
a non-transitory storage medium communicatively coupled to the processor, the non-transitory storage medium comprises
a virtual machine that, upon execution by the processor, is configured to process an object, the virtual machine includes a guest system and a host system,
event monitoring logic that, upon execution by the processor, is configured to monitor behaviors of the object during processing within the guest system of the virtual machine,
data availability logic that, upon execution by the processor, is configured to conduct a rule-based analysis of data associated with the behaviors monitored during processing of the object by the event monitoring logic to control storage of the data, the rule-based analysis to determine what data corresponds to an exception, to assign priority for data associated with the monitored behaviors and, based at least in part on the assigned priority, to store the data corresponding to the exception into a prescribed area of a virtual image file that constitutes an image of software running on the guest system and accessible to the host system.
8. The network device of claim 7 , wherein the non-transitory storage medium further comprises data access logic maintained within the host system of the virtual machine, the data access logic having access to the prescribed area of the virtual image file.
9. The network device of claim 8 , wherein the data access logic to extract content within the prescribed area of the virtual image file and filter the content within the prescribed area to recover the data associated with the monitored behaviors that correspond to the exception.
10. The network device of claim 7 , wherein the exception includes a malware exception that includes a newly created object or an altered object that causes (i) a change to a registry value, or (ii) a change in a stored setting.
11. The network device of claim 7 , wherein the exception includes a memory exception that comprises a certain memory type or a modification of certain stored content within the guest system.
12. The network device of claim 7 , wherein the exception includes an artifact exception that identifies an occurrence in certain anomalous behaviors.
13. The network device of claim 7 corresponds to a virtual electronic device in which the processor of the virtual electronic device is based on a hardware processor.
14. A network device comprising:
a processor; and
a non-transitory storage medium communicatively coupled to the processor, the non-transitory storage medium comprises
event monitoring logic that, upon execution by the processor, is configured to monitor behaviors of an object during processing within a guest system of a virtual machine, and
data extraction system logic that, upon execution by the processor, is configured to (i) conduct a rule-basis analysis of data associated with the monitored behaviors of the object, (ii) prioritize the data associated with the monitored behaviors that correspond to one or more exceptions to produce post-analysis data, and (iii) store the post-analysis data, being the data that is associated with the monitored behaviors and corresponds to an exception of the one or more exceptions, into a prescribed area of a virtual image file that constitutes an image of software running on the guest system, the prescribed area of the virtual image file being accessible by logic within the guest system of the virtual machine and logic within a host system of the virtual machine.
15. The network device of claim 14 further comprising
software that, upon execution, configures the virtual machine for analysis of the object to determine whether a probability of the object being malware exceeds a threshold.
16. The network device of claim 15 , wherein the data extraction system logic further comprises
data access logic maintained within the host system of the virtual machine, the host system having access to the prescribed area of the virtual image file.
17. The network device of claim 16 , wherein the data access logic to extract content within the prescribed area of the virtual image file and filter the content within the prescribed area to recover the data associated with the monitored behaviors that correspond to the exception.
18. The network device of claim 16 , wherein the exception includes a malware exception that includes a newly created object or an altered object that causes (i) a change to a registry value, or (ii) a change in a stored setting.
19. The network device of claim 14 , wherein the exception includes a memory exception that comprises a certain memory type or a modification of certain stored content within the guest system.
20. The network device of claim 14 , wherein the exception includes an artifact exception that identifies an occurrence in certain anomalous behaviors.
21. The network device of claim 14 corresponds to a virtual electronic device in which the processor of the virtual electronic device is based on a hardware processor.