Bank of America Corporation

Matthew E Kelly

Dan E Summers

Jeffrey Wayne Texada

Steven Dimaria

Robert Riley Zink

Michael E H Dunten

Jeffrey Dye

David Arnett

A device configured to receive a data sample about a configuration for one or more network devices in a public network. The device is further configured to compare one or more threat indicators to the data sample where each threat indicator is associated with a configuration setting. The device is further configured to identify a first network device in the public network that comprises a configuration that matches a threat indicator and to generate a bad actor profile for the first network device. The device is further configured to receive data traffic for a second network device in a private network and to block data communications between the second network device in the private network and the first network device in the public network in response to determining that the first network device is associated with the bad actor profile.

Preemptive threat detection for an information system

A known-deployed file metadata repository (KDFMR) and analysis engine enumerates reference lists of files stored on a software delivery point (SDP) and compares the enumerated list of files and associated metadata to previously stored values in the KDFMR. If newly stored or modified files are identified, the analysis engine acquires the files from the SDP. Each file is analyzed to determine whether the file is an atomic file or a container file and metadata is generated or extracted. Each file stored in a container file is recursively extracted and analyzed, where metadata is generated for each extracted file and each container file. The KDFMR periodically analyzes the files stored on the SDP for differences to maintain the currency of the KDFMR data with respect to files stored on the SDP. Storage or modification of files on the SDP triggers analysis of the associated file. KDFMR data is updated with metadata determined based on sandbox detonation of files and/or identified artifacts of known-deployed files.

Known-deployed file metadata repository and analysis engine

The system collects startup commands associated with network-attached computing devices. A startup command is automatically executed by a device on which the startup command is stored upon startup of the device and is associated with a device identifier for the device. For each startup command, a corresponding command tag is determined for the startup command using a verb list. Using the device identifier associated with each startup command and the command tag determined for each startup command, a proportion of the plurality of devices is determined that are associated with each command tag. Based on the determined proportion of the plurality of devices that are associated with each command tag, a suspicious command tag is determined. A report is stored that includes the suspicious command tag, suspicious startup command(s) associated with the suspicious command tag, and the device identifier associated with each suspicious startup command.

Detecting malicious threats via autostart execution point analysis

Growing community of inventors

Chicago, IL, United States of America

Matthew E Kelly