-
公开(公告)号：US20230139473A1
公开(公告)日：2023-05-04
申请号：US18147468
申请日：2022-12-28
Applicant: Dropbox, Inc.
Inventor： Ishita Arora , Anton Mityagin , Ray Zhang , Sam Keller , Stacey Sern
Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for malware detection and content item recovery. For example, a content management system can receive information describing changes made to content items stored on a user device. The content management system can analyze the information to determine if the described changes are related to malicious software on the user device. When the changes are related to malicious software, the content management system can determine which content items are effected by the malicious software and/or determine when the malicious software first started making changes to the user device. The content management system can recover effected content items associated with the user device by replacing the effected versions of the content items with versions of the content items that existed immediately before the malicious software started making changes to the user device.
-
公开(公告)号：US20190065741A1
公开(公告)日：2019-02-28
申请号：US15685215
申请日：2017-08-24
Applicant: Dropbox, Inc.
Inventor： Ray Zhang
Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for identifying malware based on content item identifiers. For example, a system for detecting malware can be made more efficient by reducing the number of content items that are scanned or analyzed for malicious software code or computer instructions. The number of content items that need to be scanned can be reduced by identifying suspicious content items based on tokens (e.g., strings of characters) commonly used by malware in the identifiers of malware related content items and then analyzing the identified suspicious content items for malicious content (e.g., malicious software instructions) using the anti-malware software.
-
公开(公告)号：US11580221B2
公开(公告)日：2023-02-14
申请号：US15394385
申请日：2016-12-29
Applicant: DROPBOX, INC.
Inventor： Ishita Arora , Anton Mityagin , Ray Zhang , Sam Keller , Stacey Sern
Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for malware detection and content item recovery. For example, a content management system can receive information describing changes made to content items stored on a user device. The content management system can analyze the information to determine if the described changes are related to malicious software on the user device. When the changes are related to malicious software, the content management system can determine which content items are effected by the malicious software and/or determine when the malicious software first started making changes to the user device. The content management system can recover effected content items associated with the user device by replacing the effected versions of the content items with versions of the content items that existed immediately before the malicious software started making changes to the user device.
-
公开(公告)号：US20200082077A1
公开(公告)日：2020-03-12
申请号：US16681146
申请日：2019-11-12
Applicant: Dropbox, Inc
Inventor： Ray Zhang
Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for identifying malware based on content item identifiers. For example, a system for detecting malware can be made more efficient by reducing the number of content items that are scanned or analyzed for malicious software code or computer instructions. The number of content items that need to be scanned can be reduced by identifying suspicious content items based on tokens (e.g., strings of characters) commonly used by malware in the identifiers of malware related content items and then analyzing the identified suspicious content items for malicious content (e.g., malicious software instructions) using the anti-malware software.
-
-
-
Search Results
4
records
(took 0.014 seconds)
