Rapid7, Inc.

Deral Heiland

Matthew Kienow

Wah-Kwan Lin

Dustin Myers

Pearce Barry

Alberto Cecioni

Adam Bunn

Inter-chip communication data in an Internet-of-Things (IoT) device is manipulated and analyzed to identify and remediate security vulnerabilities. Inter-chip communication data in the IoT device is captured. Communication direction, address format, flow control, communication timing, and communication structure associated with the inter-chip communication data is identified. Based on the foregoing identification(s), portions of the inter-chip communication data that require modification are identified so that that inter-chip communication data can be replayed. Based on the modification and the replaying, security vulnerabilities in the IoT device are identified and remediated.

Using modified inter-chip messages to determine microcontroller message encoding

Various embodiments include systems and methods of implementing radio frequency (RF) capture analysis reporting. The implementing may include receiving RF data captured by RF capture component(s) positioned at location(s) within a physical environment. The captured RF data includes RF device metrics associated with RF device(s) identified by the RF capture component(s) as being located within the physical environment. One or more analysis operations may be performed with respect to the RF device(s) based at least in part on the RF device metrics. Based at least in part on a result of the analysis operation(s), a potential security vulnerability associated with a particular RF device may be identified. A report may be generated that identifies at least the potential security vulnerability associated with the particular RF device.

Detecting security vulnerabilities associated with transient radio frequency devices

Radio frequency capture analysis reporting

Manipulating inter-chip communications for IoT security

Methods and systems for classifying a device on a network. The systems and methods may receive network activity data associated with an unknown device. A classifier executing one or more machine learning models may then classify the device as an internet of things (IoT) device or a non-IoT device.

Autonomous application of security measures to IoT devices

Internet-of-things device classifier

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Xenia, OH, United States of America

Deral Heiland