Countertack, Inc.

Neurallq, Inc.

Neuraliq, Inc.

Alen Capalik

David Andrews

Ben Becker

Zachery Salwasser

A computer implemented method includes monitoring activity on the virtual machine. A plurality of activities being performed at the virtual machine is identified. Each of the activities includes an activity source, an activity target, and an association between the activity source and the activity target. The activity information is stored in the memory. The one or more of the activity sources, activity targets, and associations are transmitted to prevent future attacks.

System and method for identifying unauthorized activities on a computer system using a data structure model

The method analyzes unauthorized intrusion into a computer network. Access is allowed to a virtualized operating system running on a hypervisor operating system hosted on a network device. A network attack is intercepted on the virtualized operating system using an introspection module with a virtual-machine-based rootkit module and its associated userland processes running on the hypervisor operating system. The network attack includes attack-identifying information. Forensic data is generated on the network attack from the attack-identifying information.

System and method for analyzing unauthorized intrusion into a computer network

A computer implemented method includes monitoring activity on the virtual machine. A plurality of activities being performed at the virtual machine is identified. Each of the activities includes an activity source, an activity target, and an association between the activity source and the activity target. The activity sources, activity targets, and associations are stored in the memory. A fingerprint indicative of the activity on the virtual machine is created from the stored activities. The fingerprint is transmitted to prevent future attacks that comprise the same or similar activities as indicated by the fingerprint.

A method includes receiving a list of target addresses, locating a first page table entry corresponding to the first page, and determining the first executability state. When the first executability state is non-executable, a first set of one or more target addresses that correspond to the first page, and a second set of one or more target addresses that correspond to one or more pages other than the first page are identified. One or more target addresses are stored in breakpoint registers of the computer system. The first executability state of the first page table entry is set as executable, and the executability states of page table entries that correspond to the second set of target addresses are set as non-executable. When the first address matches one of the target addresses stored in the breakpoint registers, forensic data is recorded.

System and method for sampling forensic data of unauthorized activities using executability states

Improved methods and systems for decoy networks with automatic signature generation for intrusion detection and intrusion prevention systems. A modular decoy network with front-end monitor/intercept module(s) with a processing back-end that is separate from the protected network. The front-end presents a standard fully functional operating system that is a decoy so that the instigator of an attack is lead to believe a connection has been made to the protected network. The front-end includes a hidden sentinel kernal driver that monitors connections to the system and captures attack-identifying information. The captured information is sent to the processing module for report generation, data analysis and generation of an attack signature. The generated attack signature can then be applied to the library of signatures of the intrusion detection system or intrusion prevention system of the protected network to defend against network based attacks including zero-day attacks.

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Pacific Palisades, CA, United States of America

Alen Capalik