Symantec Corporation

Jie Fu

Kevin Alejandro Roundy

Tao Cheng

Zhi Kai Li

Fanglu Guo

Sandeep B Bhatkar

Sanjay Sawhney

Acar Tamersoy

Darren Shou

Elias Khalil

Zhigang Kan

Ying Li

Gehua Huang

Yuan Yuan Li

Adam Overfield

Techniques for detecting anomalous network traffic are disclosed. In one particular embodiment, the techniques may be realized as a method for detecting anomalous network traffic comprising the steps of receiving a list including a plurality of processes and, for each process, a list of approved types of network traffic; monitoring network traffic of each process on the list of processes; upon detecting network traffic for a process on the list of processes, determining that the type of network traffic detected is not on the list of approved types for that process; and identifying the process as infected based on determining that the type of network traffic detected is not on the list of approved types for that process.

Techniques for detecting anomalous network traffic

Applications running on a mobile device are monitored for suspicious actions utilizing mobile features of the mobile device. Once a suspicious action performed by an application is detected, that suspicious action is suspended. Information about the suspicious action and the application is collected and transmitted to a remote security system over a wireless network. The security system analyzes the suspicious action and the application to determine a security rating of the application, and transmit the security rating back to the mobile device. Whether the application is malware and whether the suspicious action should be allowed to continue are both determined based on the security rating.

Detecting malware on mobile devices based on mobile behavior analysis

A computer-implemented method for detecting malicious use of digital certificates may include determining that a digital certificate is invalid. The method may further include locating, within the invalid digital certificate, at least one field that was previously identified as being useful in distinguishing malicious use of invalid certificates from benign use of invalid certificates. The method may also include determining, based on analysis of information from the field of the invalid digital certificate, that the invalid digital certificate is potentially being used to facilitate malicious communications. The method may additionally include performing a security action in response to determining that the invalid digital certificate is potentially being used to facilitate malicious communications. Various other methods, systems, and computer-readable media are disclosed.

Systems and methods for detecting malicious use of digital certificates

Techniques for detecting malicious code are disclosed. In one particular embodiment, the techniques may be realized as a method for detecting malicious code comprising the steps of identifying a query to a domain name service that resolves to a local address; identifying the process that originated the identified query; and designating the identified process as infected based on identifying the process as having originated the query that resolved to a local address.

Techniques for detecting malicious code

A computer-implemented method for using event-correlation graphs to detect attacks on computing systems may include (1) detecting a suspicious event involving a first actor within a computing system, (2) constructing an event-correlation graph that includes a first node that represents the first actor, a second node that represents a second actor, and an edge that interconnects the first node and the second node and represents a suspicious event involving the first actor and the second actor, (3) calculating, based at least in part on the additional suspicious event, an attack score for the event-correlation graph, (4) determining that the attack score is greater than a predetermined threshold, and (5) determining, based at least in part on the attack score being greater than the predetermined threshold, that the suspicious event may be part of an attack on the computing system. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for using event-correlation graphs to detect attacks on computing systems

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Chengdu, China

Jie Fu