Amazon Technologies, Inc.

John Schweitzer

Gregory Branchek Roth

Nachiketh Rao Potlapally

Donald Lee Bailey, Jr

Hassan Sultan

Michael Lowney

Wayne Alan Fullen

Jared Sylvester

Patrick Collard

Sai Srinivas Vemula

William Kupersanin

Sameer Anil Murudkar

Catherine Watkins

Jacob Nguyen

Stephen Goodman

Luke Kenneth Schubert

Evripidis Paraskevas

Ravi Karnam

Elisabeth Margaret Nagy

This disclosure describes building a graph that is based on which IP address sources are active in the same time periods. By creating a node for each IP address with some moderate level of suspicious activity and connecting the nodes for any IP addresses that are engaging in that activity at roughly the same time, the graph represents scenarios of possible cooperation between sets of IP addresses. Nodes in this graph and the links between are assigned values based on how much suspicious activity they engage in during each time window. These values decay over time if no new suspicious activity occurs. By analyzing the resulting graph at any particular point in time, how similar two IP addresses have been behaving recently can be measured without having to keep track of their total history of activity over the last time period.

Assessing coordinated malicious behavior towards a service provider network

Described are systems and methods for determining a reputation score and/or a confidence score for a network identifier that represents, respectively, a likelihood that the network identifier presents a threat and/or a likelihood that the network activity associated with the network identifier corresponds to a port scanning, enumeration, or other malicious event. Embodiments of the present disclosure can utilize various network telemetry information, such as authentication activity, outbound traffic activity, web activity, honeypot connection activity, or network classification information to determine the reputation and/or confidence scores in response to a query/request and/or in connection with potentially malicious activity that can represent a likelihood that the detected potentially malicious activity is malicious/legitimate and the potential impact that remediation measures taken against the network identifier may have in the event that the detected network activity was legitimate.

Reputation and confidence scoring for network identifiers based on network telemetry

A graph of a plurality of resources in a computing environment is generated, with the graph associating a first resource of the plurality with a second resource of the plurality. Based at least in part on measurements obtained at a point in a test computing environment that corresponds to a point in the computing environment, a graph representing the relationship between the first resource and the second resource is generated. A threat model identifying potential risks to the computing environment is created from the graph.

Threat detection and mitigation through run-time introspection and instrumentation

A graph of a plurality of resources in a computing environment is generated, with the graph associating a first resource of the plurality with a second resource of the plurality. Based at least in part on measurements obtained at a point in a test computing environment that corresponds to a point in the computing environment, an expected value or expected range of values is determined. An assessment of a security state of the computing environment is generated based at least in part on a comparison between a measurement obtained at the point in the computing environment and the expected value or expected range of values, and responsive to a determination that the assessment indicates a rule violation in the computing environment, a security action is performed.

A virtual computer system service determines, for a selected virtual machine image, information that is generated based at least in part on the contents of the selected virtual machine image. The virtual computer system service may compare this information to other information obtained from other virtual machine images to determine a similarity score for each of these other virtual machine images. Based at least in part on these similarity scores, the virtual computer system service determines a provenance for the selected virtual machine image, which is provided to an administrator, customer or other entity.

Determining provenance of virtual machine images

A system and method for threat detection and mitigation through run-time introspection. The system and method comprising receiving a request to monitor a computing environment. Based on the received request, the system and method further includes determining a set of introspection points for monitoring the computing environment. receive a request to monitor a computing environment, measuring at individual introspection points of the set of introspection points to obtain a set of measurements, generating a graph of a set of resources in the computing environment, wherein the graph correlates individual resources in the set of resources to other resources based on at based at least in part on the set of measurements, and determining whether to perform a security action based at least in part on whether an evaluation of the graph indicates a threat to the computing environment.

Growing community of inventors

Virginia Beach, VA, United States of America

John Schweitzer