Amazon Technologies, Inc.

Kushal Mall

Thomas Bradley Scholl

John E Shields

Bobby Brown

Bradford Sachin Chatterjee

Jonathan Phillibert

Kelly Anne Rooker

Darshan Narayana Reddy

Eric Andrew Rubin-Smith

Michael W Palladino

Ali Khayam

Karthik Chandrashekar

Grace Marie Hatamyar

Lewis Iain McLean

Andrew Robert Hassall

Sammit Kulkarni

Sidath Manawadu

Benjamin Patrick Albertson-Gass

Michael Wan

Thomas William Bray

Michael Marano

Jinbing Zhang

Mario Souza

Technologies are disclosed for mitigating attempts to capture traffic on a network using unauthorized advertisements. Responsive to detecting an authorized advertisement for a path to a service on the network, a mitigation/orchestration service may determine a synthetic route advertisement that is configured to win back the captured traffic (e.g., by providing a route specificity that is at least equal to the unauthorized advertisement) and propagate the synthetic route advertisement from routers in the network. The won back traffic may be directed through a backbone of the network to the service.

Route hijack mitigation

In a computer networking system, data is transmitted through a network based on advertised routes. The disclosure provides mechanisms for detecting anomalies in network routing by analyzing autonomous system (AS) paths in data corresponding to Border Gateway Protocol (BPG) messages. The AS path information from the BGP message data may be evaluated to detect different types of anomalies, which may be reported to a management entity for further review or mitigation.

Network routing anomaly detection

The present disclosure generally relates to systems and methods for utilization of network mitigation techniques in the form of null address routing to mitigate coordinated DDOS attacks. One or more computing devices can install malware code into a network device after exploiting a vulnerability of the network device. A monitoring and mitigation service can monitor network devices and detect malware code installed on the network-based service. The monitoring and mitigation service can identify the internet protocol (IP) address or any routing information regarding the computing devices that sent the malware code. Based on the identified information, the monitoring and mitigation service can identify and implement the network mitigation information in the form of null routing addresses that will cause network communications associated with the identified computing device to be terminated or otherwise not delivered to the intended network-based resources.

Mitigation of malware code-distribution sites

The present disclosure generally relates to systems and methods for utilization of network mitigation techniques in the form of null address routing to mitigate coordinated DDOS attacks. A monitoring and mitigation service can characterize a command and control node as compromised or otherwise manipulated for purposes of generating distributed attacks. The monitoring and mitigation service can then identify network mitigation information in the form of null routing addresses that will cause network communications associated with the identified command and control node to be terminated or otherwise not delivered to the intended network-based resources. The monitoring and mitigation service can propagate the null routing address to routing components. The network mitigation information can be associated with expiration criteria for the routing components that receive and implement the network mitigation technique.

Managing network mitigation techniques

Systems and methods are disclosed for monitoring routing data and issuing alarms for route anomalies detected based on the monitored routing data. Routing data, including Border Gateway Protocol (BGP) announcement and/or withdraw messages for a targeted prefix of an Autonomous System (AS), is collected and analyzed to detect route anomalies. The analysis may include a comparison of the BGP messages to internal routing data. An alarm is selectively output corresponding to the detected route anomalies. The detected route anomalies may be correlated with monitored network traffic data to classify the route anomalies, where the output of the alarm is based on the classification of the route anomalies.

Real-time identification of network prefix outage

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Issaquah, WA, United States of America

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