Fireeye, Inc.

Pulse Secure, LLC

Hirendra Rathor

Kaushal Dalal

Anil Gupta

Udo Steinberg

Atul Kabra

Julian Stecklina

According to one embodiment, a malware detection and visualization system includes one or more processors; and a storage module communicatively coupled to the one or more processors, the storage module comprises logic, upon execution by the one or more processors, that accesses a first set of information that comprises (i) information directed to a plurality of observed events and (ii) information directed to one or more relationships that identify an association between different observed events of the plurality of observed events; and generates a reference model based on the first set of information, the reference model comprises at least a first event of the plurality of observed events, a second event of the plurality of observed events, and a first relationship that identifies that the second event is based on the first event, wherein at least one of (i) the plurality of observed events or (ii) the one or more relationships constitutes an anomalous behavior is provided.

Systems and methods for generation of signature generation using interactive infection visualizations

A computing device is described that comprises one or more hardware processors and a memory communicatively coupled to the one or more hardware processors. The memory comprises software that, when executed by the processors, operates as (i) a virtual machine and (ii) a hypervisor. The virtual machine includes a guest kernel that facilitates communications between a guest application being processed within the virtual machine and one or more virtual resources. The hypervisor configures a portion of the guest kernel to intercept a system call from the guest application and redirect information associated with the system call to the hypervisor. The hypervisor enables logic within the guest kernel to analyze information associated with the system call to determine whether the system call is associated with a malicious attack in response to the system call being initiated during a memory page execution cycle. Alternatively, the hypervisor operates to obfuscate interception of the system call in response to the system call being initiated during memory page read cycle.

System and method of threat detection under hypervisor control

According to one embodiment, a malware detection and visualization system comprises one or more processors; and a storage module communicatively coupled to the one or more processors, the storage module comprises logic, upon execution by the one or more processors, that accesses a first set of information that comprises (i) information directed to a plurality of observed events and (ii) information directed to one or more relationships that identify an association between different observed events of the plurality of observed events; and generates a reference model based on the first set of information, the reference model comprises at least a first event of the plurality of observed events, a second event of the plurality of observed events, and a first relationship that identifies that the second event is based on the first event, wherein at least one of (i) the plurality of observed events or (ii) the one or more relationships constitutes an anomalous behavior is provided.

Interactive infection visualization for improved exploit detection and signature generation for malware and malware families

According to one embodiment, a computerized method comprises, accessing information associated with one or more observed events, wherein one or more of the observed events constitutes an anomalous behavior; accessing a reference model based on a first plurality of events, the reference model comprises a first event of the first plurality of events, a second event of the first plurality of events and a relationship that identifies that the second event of the first plurality of events is based on the first event of the first plurality of events, wherein at least one of the first event and the second event constitutes an anomalous behavior; and comparing the information associated with the one or more observed events with the reference model to determine whether at least one observed event of the one or more observed events matches at least one of the first event of the first plurality of events or the second event of the first plurality of events that constitutes the anomalous behavior is provided.

Exploit detection of malware and malware families

In one example, a network device may store health status information specifying a current security status for each of a plurality of authenticated endpoint devices in accordance with an authorization data model. The network device may update the current security status of each of at least two of the plurality of authenticated endpoint devices connected to an enterprise network to indicate that each of the at least two of the plurality of authenticated endpoint devices has a compromised security status, and identify a characteristic common to both of the authenticated endpoint devices having the compromised security status. The network device may interface with one or more policy enforcement devices to quarantine a set of endpoint devices associated with the identified characteristic. The current security status of at least one of the quarantined endpoint devices may indicate that the quarantined endpoint device does not have a compromised security status.

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Bengaluru, India

Hirendra Rathor