Dynamic quarantining for malware detection
View Patent ↗A method includes detecting a portion of data on an electronic device, determining a first representation of the malware status of the data, quarantining the data for a period of time, estimating whether the data is associated with malware by comparing the first and second representation, and, based on the estimation, releasing the data from quarantine. The first representation indicates that the malware status of the data is not certain to be safe and the malware status of the data is not certain to be malicious.
1. A method for preventing malware attacks, comprising:
on an electronic device, analyzing a portion of data;
determining a first representation of the malware status of the data, including:
determining that the malware status of the data is not certain to be safe; and
determining that the malware status of the data is not certain to be malicious;
quarantining the data for a period of time based on the determination of the first representation of the malware status of the data;
determining a second representation of the malware status of the same data after the period of time;
estimating whether the data is associated with malware by comparing the first and second representation; and
based on the estimation of whether the data is associated with malware, releasing the data from quarantine.
2. The method of claim 1 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an increased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is safe based upon the increased likelihood that the data is safe.
3. The method of claim 1 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an decreased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is malicious based upon the decreased likelihood that the data is safe.
4. The method of claim 3 , wherein the data is blocked from arriving at an intended recipient if the data is associated with malware.
5. The method of claim 3 , wherein comparing the first and second representation includes determining whether the second representation has crossed a threshold value.
6. The method of claim 1 , wherein comparing the first and second representation yields a determination that:
the malware status of the data is not certain to be safe; and
the malware status of the data is not certain to be malicious; and further comprising:
based on the determination, repeating the quarantining and determining a third representation of the malware status of the data;
comparing the third representation to a previously determined representation; and
based on the comparison, estimating the malware status of the data.
7. The method of claim 1 , wherein the representations include a reputation score.
8. At least one non-transitory machine readable storage medium, comprising computer-executable instructions carried on the non-transitory machine readable storage medium, the instructions readable by a processor, the instructions, when read and executed, for causing the processor to:
analyze a portion of data;
determine a first representation of the malware status of the data, including:
determining that the malware status of the data is not certain to be safe; and
determining that the malware status of the data is not certain to be malicious;
quarantine the data for a period of time;
determine a second representation of the malware status of the same data after the period of time;
estimate whether the data is associated with malware by comparing the first and second representation; and
based on the estimation of whether the data is associated with malware, release the data from quarantine.
9. The at least one machine readable storage medium of claim 8 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an increased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is safe based upon the increased likelihood that the data is safe.
10. The at least one machine readable storage medium of claim 8 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an decreased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is malicious based upon the decreased likelihood that the data is safe.
11. The at least one machine readable storage medium of claim 10 , wherein the data is blocked from arriving at an intended recipient if the data is associated with malware.
12. The at least one machine readable storage medium of claim 10 , wherein comparing the first and second representation includes determining whether the second representation has crossed a threshold value.
13. The at least one machine readable storage medium of claim 8 , wherein:
comparing the first and second representation yields a determination that:
the malware status of the data is not certain to be safe; and
the malware status of the data is not certain to be malicious; and
the processor is further caused to:
based on the determination, repeat the quarantining and determine a third representation of the malware status of the data;
compare the third representation to a previously determined representation; and
based on the comparison, estimate the malware status of the data.
14. The at least one machine readable storage medium of claim 8 , wherein the representations include a reputation score.
15. A system for preventing malware attacks, comprising:
a device including a portion of data;
a processor coupled to a computer readable medium; and
computer-executable instructions carried on the computer readable medium, the instructions readable by the processor, the instructions, when read and executed, for causing the processor to:
analyze the data;
determine a first representation of the malware status of the data, including:
determining that the malware status of the data is not certain to be safe; and
determining that the malware status of the data is not certain to be malicious;
quarantine the data for a period of time;
determine a second representation of the malware status of the same data after the period of time;
estimate whether the data is associated with malware by comparing the first and second representation; and
based on the estimation of whether the data is associated with malware, release the data from quarantine.
16. The system of claim 15 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an increased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is safe based upon the increased likelihood that the data is safe.
17. The system of claim 15 , wherein:
comparing the first and second representation includes determining whether representation has changed, indicating an decreased likelihood that the data is safe; and
determining whether the data is associated with malware includes estimating that the data is malicious based upon the decreased likelihood that the data is safe.
18. The system of claim 17 , wherein the data is blocked from arriving at an intended recipient if the data is associated with malware.
19. The system of claim 17 , wherein comparing the first and second representation includes determining whether the second representation has crossed a threshold value.
20. The system of claim 15 , wherein:
comparing the first and second representation yields a determination that:
the malware status of the data is not certain to be safe; and
the malware status of the data is not certain to be malicious; and
the processor is further caused to:
based on the determination, repeat the quarantining and determine a third representation of the malware status of the data;
compare the third representation to a previously determined representation; and
based on the comparison, estimate the malware status of the data.