Mcafee, Inc.

Crowdstrike, Inc.

Ramnath Venugopalan

Joel Robert Spurlock

David Frederick Diehl

Geoffrey Cooper

Cedric Cochin

James Douglas Bean

Vinay Mahadik

Timothy Jason Berger

James Robert Plush

Ned M Smith

Vincent J Zimmer

Rajesh Poornachandran

Igor G Muttik

John Douglas Teddy

Aditya Kapoor

Michael W Green

Guy Roberts

Richard Morrey

Stevan Markovic

Nick Wilson

Geoffrey Howard Cooper

Vinay A Mahadik

A digital security system can store data associated with entities in resolver trees. If the digital security system determines that two resolver trees are likely representing the same entity, the digital security system can use a merge operation to merge the resolver trees into a single resolver tree that represents the entity. The single resolver tree can include a merge node indicating a merge identifier of the merge operation. Nodes containing information merged into the resolver tree from another resolver tree during the merge operation can be tagged with the corresponding merge identifier. Accordingly, if the merge operation is to be undone, for instance if subsequent information indicates that the entries are likely separate entities, the resolver tree can be unmerged and the nodes tagged with the merge identifier can be restored to a separate resolver tree.

Merging and unmerging entity representations via resolver trees

Particular embodiments described herein provide for an electronic device that can be configured to analyze data related to a digital certificate and assign a reputation to the digital certificate, where the reputation includes an indication if the data is proper. The analysis of the data can include determining if code signing for the digital certificate matches binary code for the digital certificate, if the digital certificate has been grafted to the data by modifying a portable executable file header, or the digital certificate is the same as another trusted digital certificate associated with different data.

Malware detection using a digital certificate

Disclosed herein are cloud-based machine learning systems and methods for monitoring networked devices to identify and classify characteristics, to infer typical or atypical behavior and assign reputation profiles across various networked devices, and to make remediation recommendations. In some embodiments, a cloud-based machine learning system may learn the typical operation and interfacing of a plurality of reputable devices that are known to be free from malicious software and other threats. In some embodiments, a cloud-based machine learning system may learn the typical operation and interfacing of a device, and may identify atypical operations or interfaces associated with that device by comparing the operations and interfaces to those of a plurality of networked devices or to those of a defined standard reference device.

Static and dynamic device profile reputation using cloud-based machine learning

Particular embodiments described herein provide for an electronic device that can be configured to identifying a digital certificate associated with data and assigning a reputation to the digital certificate, where the digital certificate is classified as trusted if the digital certificate is included in an entry in a whitelist and the digital certificate is classified as untrusted if the digital certificate is included in an entry in a blacklist.

Determining the reputation of a digital certificate

There is disclosed in an example a computing apparatus configured to operate as an enterprise threat intelligence server, and including: a network interface configured to communicatively couple to a network; and one or more logic elements providing a reputation engine, operable for: receiving a first uniform resource locator (URL) identifier; determining that a first URL identified by the first URL identifier has an unknown enterprise reputation; and establishing a baseline reputation for the URL. There is further disclosed a method of providing the reputation engine, and one or more computer-readable mediums having stored thereon executable instructions for providing the reputation engine.

Enterprise reputations for uniform resource locators

A method is provided in one example embodiment and includes exchanging a session descriptor associated with a network connection and an application on a host, correlating the session descriptor with a network policy, and applying the network policy to the network connection. In alternative embodiments, the session descriptor may be exchanged through an out-of-band communication channel or an in-band communication channel.

System and method for interlocking a host and a gateway

Particular embodiments described herein provide for an electronic device that can be configured to monitor network traffic to and from a device, compare the monitored network traffic to characteristics of the device to determine if the monitored traffic is outside the characteristics of the device, and take remedial action if the monitored traffic is outside the characteristics of the device.

Determining a reputation through network characteristics

In one example, a data security system may determine prevalence of a file based query data for an object (e.g., a file or a hash or a file). An example algorithm may provide using a statistically justifiable estimate of the prevalence while storing few data records, and therefore may provide prevalence information in O(1) time complexity (i.e., constant time). Such an algorithm may be applied in near real-time to provide, e.g., an immediate response to a query for the prevalence of a file.

Providing prevalence information using query data

A computer network device comprises an intrusion prevention rule set comprising a plurality of rules, each of the plurality of rules associated with two or more rule classification parameters, and an intrusion prevention module that is operable to use two or more of the classification parameters associated with the plurality of intrusion protection rules to selectively apply the rules to provide network intrusion protection of network traffic.

Growing community of inventors

Webster, NY, United States of America

Ramnath Venugopalan