The University of North Carolina at Chapel Hill

International Business Machines Corporation

The State University of New York

Hcl Technologies Limited

Fabian Newman Monrose

Teryl Paul Taylor

Srinivas Krishnan

Kevin Zachary Snow

Ting Wang

Marc Philippe Stoecklin

Jiyong Jang

Xin Hu

Nathan Otterness

Phillip Andrew Porras

John E McHugh

Andrew Maxwell White

Michael Donald Bailey

Robert John Dallara

Georgios Baltas

Michalis Polychronakis

Jan Jakub Werner

Methods, systems, and computer readable media for preventing code reuse attacks are disclosed. According to one method, the method includes executing, on a processor, code in a memory page related to an application, wherein the memory page is protected. The method also includes detecting a read request associated with the code. The method further includes after detecting the read request, modifying, without using a hypervisor, at least one memory permission associated with the memory page such that the code is no longer executable after the code is read.

Methods, systems, and computer readable media for preventing code reuse attacks

A method includes receiving, at an input port of a computer, indication of HTTP (Hypertext Transfer Protocol) traffic and clustering, using a processor on the computer, the HTTP traffic according to a client IP (Internet Protocol) into a web session tree. A client tree structure of the web session tree is generated and the client tree structure is compared with tree structures of exploit kit samples.

Detecting web exploit kits by tree-based structural similarity search

Methods, systems, and computer readable media for detecting malicious network traffic are disclosed. According to one method, the method includes caching network traffic transmitted between a client and a server, wherein the network traffic includes a uniform resource locator (URL) for accessing at least one file from the server. The method also includes determining whether the at least one file is suspicious. The method further includes in response to determining that the at least one file is suspicious, determining whether the at least one file is malicious by replaying the network traffic using an emulated client and an emulated server.

Methods, systems, and computer readable media for detecting malicious network traffic

Methods, systems, and computer readable media for rapid filtering of opaque data traffic are disclosed. According to one method, the method includes receiving a packet containing a payload. The method also includes analyzing a portion of the payload for determining whether the packet contains compressed or encrypted data. The method further includes performing, if the packet contains compressed or encrypted data, at least one of sending the packet to an opaque traffic analysis engine for analysis, discarding the packet, logging the packet, or marking the packet.

Methods, systems, and computer readable media for rapid filtering of opaque data traffic

Methods, systems, and computer readable media for detecting a compromised computing host are disclosed. According to one method, the method includes receiving one or more domain name system (DNS) non-existent domain (NX) messages associated with a computing host. The method also includes determining, using a host score associated with one or more unique DNS zones or domain names included in the one or more DNS NX messages, whether the computing host is compromised. The method further includes performing, in response to determining that the computing host is compromised, a mitigation action.

Methods, systems, and computer readable media for detecting a compromised computing host

A method of detecting exploit kits includes receiving, at an input port of a computer, indication of HTTP (Hypertext Transfer Protocol) traffic. The HTTP traffic is clustered into a web session tree according to a client IP (Internet Protocol. A client tree structure of the web session tree is generated. The client tree structure is compared with tree structures of exploit kit samples.

According to one aspect, the subject matter described herein includes a method for efficient computer forensic analysis and data access control. The method includes steps occurring from within a virtualization layer separate from a guest operating system. The steps include monitoring disk accesses by the guest operating system to a region of interest on a disk from which data is copied into memory. The steps also include tracking subsequent accesses to the memory resident data where the memory resident data is copied from its initial location to other memory locations or over a network. The steps further include linking operations made by the guest operating system associated with the disk accesses with operations made by the guest operating system associated with the memory accessed.

Methods, systems, and computer readable media for efficient computer forensic analysis and data access control

According to one aspect, the subject matter described herein includes a method for detecting injected machine code. The method includes extracting data content from a buffer. The method also includes providing an operating system kernel configured to detect injected machine code. The method further includes executing, using the operating system kernel, the data content on a physical processor. The method further includes monitoring, using the operating system kernel, the execution of the data content to determine whether the data content contains injected machine code indicative of a code injection attack.

Growing community of inventors

Chapel Hill, NC, United States of America

Fabian Newman Monrose