Dropbox, Inc.

Ray Zhang

Anton Mityagin

Sam Keller

Stacey Sern

Ishita Arora

Stacy Sern

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.

Malware detection and content item recovery

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.

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San Jose, CA, United States of America

Ray Zhang