Microsoft Technology Licensing, LLC

Marc E Seinfeld

Adrian Mihail Marinescu

Neil Scott Fishman

Donald J Kadyk

Michael Todd Kramer

William Michael Zintel

Daron Spektor

Matthew I Braverman

Jason Garms

Scott Field

Anil Francis Thomas

Don Kadyk

Brent E Curtis

Michael Jarrett

Vishal Kapoor

Alvin Loh

Ajith Kumar

Mark Ledsome

Joseph J Johnson

Charles W Kaufman

Jeff Williams

Jack Wilson Stokes, Iii

Mihai Costea

Sterling M Reasor

Michael G Sheldon

Alexey A Polyakov

Chengi Jimmy Kuo

Zeke Book Odins-Lucas

Yigal Mordechai Edery

Carl M Carter-Schwendler

Jeffrey M Cooperstein

Ning Sun

Angela K Butcher

Chengyun Chu

Jigar J Mody

Tony Lee

Ryan W J Waite

Jonathan Mark Keller

Paul Brandon Luber

Timothy David Ebringer

George Cristian Chicioreanu

Joseph Leo Faulhaber

Jeremy D Croy

Nitin Sood

Eric L A Lantz

Randal Patrick Treit

Kalid M Azad

Paul J Bryan

Leif Pederson

Aaron Putnam

Timothy Jon Fraser

Mathew J McCormack

The present invention extends to methods, systems, and computer program products for reverse replication to rollback corrupted files. When a computer system detects that a copy of a file includes inappropriate content, the computer system can coordinate with other computer systems (e.g., in replicated storage system) to determine that a viable (e.g., clean) copy of the file exists. The computer system can access the viable copy and replace the copy that includes the inappropriate content with the viable copy. As such, a computer system can 'reverse replicate' a file rather than break a synchronization relationship. Reverse replication can be used to rollback a copy of an infected file to another (possibly earlier) copy of the file that is not infected. Embodiments of the invention can be used to rollback data files, such as, for example, pictures, videos, documents, etc.

Reverse replication to rollback corrupted files

The present invention extends to methods, systems, and computer program products for scanning files for inappropriate content during file synchronization. Embodiments of the invention are mindful of the order of operations when scanning files for inappropriate content and in subsequent file processing. In some embodiments, during synchronization, an intermediary server scans a file for inappropriate content. The file is not permitted to be fully downloaded to a client device until the scan determines that the file does not contain inappropriate content. In other embodiments, during synchronization, a client device scans a newer version of a file for inappropriate content. An older version of the file is not deleted until the scan determines that the newer version of the file does not contain inappropriate content. In further embodiments, server side scanning and client side scanning are both used to enhance capabilities for detecting inappropriate content.

Scanning files for inappropriate content during synchronization

The subject disclosure is directed towards detecting malware or possible malware in an input file by allowing the input file to be opened, and by monitoring for one or more behaviors corresponding to the open file that likely indicate malware. Only certain executable files and/or file types opened thereby may be monitored, with various collected event data used for antimalware purposes when improper behavior is observed. Example behaviors include writing of a file to storage, generation of network traffic, injection of a process, running of script, and/or writing system registry data. Telemetry data and/or a sample of the file may be sent to an antimalware service, and malware remediation may be performed. Data (e.g., the collected events) may be distributed to other nodes for use in antimalware detection, e.g., to block execution of a similar file.

Discovering malicious input files and performing automatic and distributed remediation

Techniques for conserving battery power in devices are provided. One or more deferrable tasks are queued for later execution. An initiation of a subsequent charging event for a battery of the device is detected. The queued deferrable task(s) are enabled to be executed during the charging event. For instance, the queued deferrable task(s) may be enabled to be executed if the charging event is predicted to be a long duration charging event, such as by referring to a charging profile of the mobile device. In this manner, battery power is conserved while the device is in use and not connected to a battery charger.

Mobile device operations with battery optimization

The subject disclosure is directed towards a technology by which antimalware detection logic is maintained and operated at a backend service, with which a customer frontend machine communicates (queries) for purposes of malware detection. In this way, some antimalware techniques are maintained at the backend service rather than revealed to antimalware authors. The backend antimalware detection logic may be based upon feature selection, and may be updated rapidly, in a manner that is faster than malware authors can track. Noise may be added to the results to make it difficult for malware authors to deduce the logic behind the results. The backend may return results indicating malware or not malware, or return inconclusive results. The backend service may also detect probing-related queries that are part of an attempt to deduce the unrevealed antimalware detection logic, with noisy results returned in response and/or other actions taken to foil the attempt.

Applying antimalware logic without revealing the antimalware logic to adversaries

In some embodiments, a local agent on a target system may evaluate current and/or historical system state information from a store (either local or remote) and dynamically adjust the level of diagnosis performed during the scan based on the evaluated state information. Individual diagnostic scans may, for example, be enabled and disabled based on the context in the store, and each scan may update the context for further evaluation. By employing such an approach, systems with a low risk profile and lacking symptoms of a problem may be scanned quickly while systems that show signs of a problem or have a high risk profile may receive a more thorough evaluation.

System state based diagnostic scan

A malware analysis system is described that provides information about malware execution history on a client computer and allows automated back-end analysis for faster creation of identification signatures and removal instructions. The malware analysis system collects threat information on client computers and sends the threat information to a back-end analysis component for automated analysis. The back-end analysis component analyzes the threat information by comparing the threat information to information about known threats. The system builds a signature for identifying the threat family and a mitigation script for neutralizing the threat. The system sends the signature and mitigation data to client computers, which use the information to mitigate the threat. Thus, the malware analysis system detects and mitigates threats more quickly than previous systems by reducing the burden on technicians to manually create environments for reproducing the threats and manually analyze the threat behavior.

Collecting and analyzing malware data

Systems, methods and apparatus for automatically identifying a version of a file that is expected to be present on a computer system and for automatically replacing a potentially corrupted copy of the file with a clean (or undamaged) copy of the expected version. Upon identifying a file on the computer system as being potentially corrupted, a clean file agent may perform an analysis based on the identity of the file and one or more other properties of the system to determine the version of the file that is expected to be present on the system. Once the expected version is identified, a clean replacement copy of the file may be obtained from a clean file repository by submitting a version identifier of the expected version. The version identifier may be a hash value, which may additionally be used to verify integrity of the clean copy.

Clean store for operating system and software recovery

The present invention provides a system, method, and computer-readable medium that opportunistically install a software update on a computer that closes a vulnerability that existed on the computer. In accordance with one aspect of the present invention, when antivirus software on a computer identifies malware, a method causes a software update that closes the vulnerability exploited by the malware to be installed on the computer. The method includes identifying the vulnerability exploited by the malware, using a software update system to obtain a software update that is configured to close the vulnerability; and causing the software update to be installed on the computer where the vulnerability exists.

System and method of opportunistically protecting a computer from malware

In accordance with the present invention, a system, method, and computer-readable medium for identifying malware at a network transit point such as a computer that serves as a gateway to an internal or private network is provided. A network transmission is scanned for malware at a network transit point without introducing additional latency to the transmission of data over the network. In accordance with one aspect of the present invention, a computer-implemented method for identifying malware at a network transit point is provided. More specifically, when a packet in a transmission is received at the network transit point, the packet is immediately forwarded to the target computer. Simultaneously, the packet and other data in the transmission are scanned for malware by an antivirus engine. If malware is identified in the transmission, the target computer is notified that the transmission contains malware.

Latency free scanning of malware at a network transit point

Detection of code-free files is described. According to one implementation, an input file is parsed to recognize a file format. Contents of the input file are checked according to the recognized file format, if available, in an effort to determine whether executable code might exist within the input file. A status is then sent in response to the checking.

Detection of code-free files

A system and method for identifying and removing potentially unwanted software. A mechanism is provided that identifies suspect programs to a user and allows the user to prevent the suspect programs from running without actually deleting them. In one embodiment, scanner data identifying potentially unwanted software is displayed in a GUI that allows the user to inhibit its continued execution. For example, any software not on a list of known, benign applications/processes may be identified as potentially unwanted. Similarly, software that displays one or more suspect behaviors may be so identified, allowing the user to distinguish between normal and suspect software without irreversibly altering the user's system.

Identifying and removing potentially unwanted software

The present invention provides a system, method, and computer-readable medium for identifying and removing active malware from a computer. Aspects of the present invention are included in a cleaner tool that may be obtained automatically with an update service or may be downloaded manually from a Web site or similar distribution system. The cleaner tool includes a specialized scanning engine that searches a computer for active malware. Since the scanning engine only searches for active malware, the amount of data downloaded and resource requirements of the cleaner tool are less than traditional antivirus software. The scanning engine searches specific locations on a computer, such as data mapped in memory, configuration files, and file metadata for data characteristic of malware. If malware is detected, the cleaner tool removes the malware from the computer.

System and method of efficiently identifying and removing active malware from a computer

The present invention is directed to a system and methods for protecting a limited resource computer from malware. Aspects of the present invention use antivirus software on a general purpose computer to prevent malware from infecting a limited resource computer. Typically, antivirus software on the general purpose computer is kept 'up-to-date' with the most recent software updates. When a connection is established between the limited resource computer and the general purpose computer, a signature of each application installed on the limited resource computer is transmitted to the general purpose computer. Then antivirus software on the general purpose computer compares the received signatures to known malware. Finally, the results of the scan are reported to the limited resource computer.

System and method for protecting a limited resource computer from malware

Growing community of inventors

Fort Lauderdale, FL, United States of America

Marc E Seinfeld