Abstract: A system for operating system remediation intercepts input/output (I/O) requests to write to one or more files and stores, as file restore data, (i) a restore copy of the one or more files to the system cache prior to performing write operations of the I/O requests and (ii) identification information for one or more processes or entities making the corresponding I/O requests in the system cache. The system reverts to the restore copy of the one or more files using the file restore data and based at least on a later determination that one or more processes making the corresponding I/O requests was malware. A current version of the one or more files is thereby replaced with the restore copy of the one or more files with improved automatic remediation support and a greater likelihood that data can be restored from the cache in the case of malware attacks.

Abstract: A system for operating system remediation intercepts input/output (I/O) requests to write to one or more files and stores, as file restore data, (i) a restore copy of the one or more files to the system cache prior to performing write operations of the I/O requests and (ii) identification information for one or more processes or entities making the corresponding I/O requests in the system cache. The system reverts to the restore copy of the one or more files using the file restore data and based at least on a later determination that one or more processes making the corresponding I/O requests was malware. A current version of the one or more files is thereby replaced with the restore copy of the one or more files with improved automatic remediation support and a greater likelihood that data can be restored from the cache in the case of malware attacks.

Abstract: A configuration scanning system is described herein that scans a system configuration database for malware-related information with less impact on other operations that access the system configuration database. The system employs techniques to reduce the impact on other operations that access the configuration database, including parsing a file-based stored version of the configuration database, accessing the configuration database using opportunistic locking, and caching configuration information obtained by scanning the configuration database. In this way, the system is able to respond to requests antimalware programs using cached information without impacting other programs using the configuration database. Thus, the configuration scanning system protects a computer system against malware while reducing the burden on the configuration database and on other programs that access the configuration database.

Abstract: Methods, systems, and computer-readable media are disclosed for identifying telemetry data. A particular method scans a file and compares the file to at least one attribute to be used for telemetry collection. When the file is identified as a telemetry candidate, an offer to submit a sample of the file is sent to a server. A response to the offer is received from the server. If the response to the offer indicates an acceptance, a sample of the file is sent to the server.

Abstract: A configuration scanning system is described herein that scans a system configuration database for malware-related information with less impact on other operations that access the system configuration database. The system employs techniques to reduce the impact on other operations that access the configuration database, including parsing a file-based stored version of the configuration database, accessing the configuration database using opportunistic locking, and caching configuration information obtained by scanning the configuration database. In this way, the system is able to respond to requests antimalware programs using cached information without impacting other programs using the configuration database. Thus, the configuration scanning system protects a computer system against malware while reducing the burden on the configuration database and on other programs that access the configuration database.

Abstract: Methods, systems, and computer-readable media are disclosed for identifying telemetry data. A particular method scans a file and compares the file to at least one attribute to be used for telemetry collection. When the file is identified as a telemetry candidate, an offer to submit a sample of the file is sent to a server. A response to the offer is received from the server. If the response to the offer indicates an acceptance, a sample of the file is sent to the server.

Abstract: A configuration scanning system is described herein that scans a system configuration database for malware-related information with less impact on other operations that access the system configuration database. The system employs techniques to reduce the impact on other operations that access the configuration database, including parsing a file-based stored version of the configuration database, accessing the configuration database using opportunistic locking, and caching configuration information obtained by scanning the configuration database. In this way, the system is able to respond to requests antimalware programs using cached information without impacting other programs using the configuration database. Thus, the configuration scanning system protects a computer system against malware while reducing the burden on the configuration database and on other programs that access the configuration database.

Abstract: A malware detection system and method for determining whether an executable script is malware is presented. The malware detection system determines whether the executable script is malware by comparing the functional contents of the executable script to the functional contents of known malware. In practice, the executable script is obtained. The executable script is normalized, thereby generating a script signature corresponding to the functionality of the executable script. The script signature is compared to known malware script signatures in a malware signature store to determine whether the executable script is malware. If a complete match is made, the executable script is considered to be malware. If a partial match is made, the executable script is considered to likely be malware. The malware detection system may perform two normalizations, each normalization generating a script signature which is compared to similarly normalized known malware script signatures in the malware signature store.