Abstract: Graph-based detection systems and techniques are provided to identify potential malicious lateral movement paths. System and security events may be used to generate a network connection graph and detect remote file executions and/or other detections, for use in tracking malicious lateral movement across a computer network, such as a compromised computer network. Lateral movement determination across a computer network may be divided into two subproblems: forensic analysis and general detection. With forensic analysis, given a malicious node, possible lateral movement leading into or out of the node is identified. General detection identifies previously unknown malicious lateral movement on a network using a remote file execution detector, and/or other detectors, and a rare path anomaly detection algorithm.

Abstract: Graph-based detection systems and techniques are provided to identify potential malicious lateral movement paths. System and security events may be used to generate a network connection graph and detect remote file executions and/or other detections, for use in tracking malicious lateral movement across a computer network, such as a compromised computer network. Lateral movement determination across a computer network may be divided into two subproblems: forensic analysis and general detection. With forensic analysis, given a malicious node, possible lateral movement leading into or out of the node is identified. General detection identifies previously unknown malicious lateral movement on a network using a remote file execution detector, and/or other detectors, and a rare path anomaly detection algorithm.

Abstract: Most machines in an organization's computer network connect to the Internet and create web traffic logs which allow analysis of HTTP traffic in a simple, centralized way. The web traffic logs may contain error reports and error reports contain significant information that can be used to detect network security. By reviewing the error reports, significant information about a network and its security can be found as common sources of network security weakness may be watched for in the error reports.

Abstract: Concepts and technologies are described herein for evaluating shellcode findings. In accordance with the concepts and technologies disclosed herein, shellcode findings can be evaluated to determine if the shellcode findings are legitimate, or if the shellcode findings are false positive shellcode findings. Legitimate shellcode findings can be determined based not simply upon patterns associated with the suspected shellcode itself, but also based upon a pattern of bit-level entropy in the memory around the suspected shellcode. Mathematical models of the memory can be generated and analyzed to determine if the shellcode finding is legitimate.

Abstract: Concepts and technologies are described herein for evaluating shellcode findings. In accordance with the concepts and technologies disclosed herein, shellcode findings can be evaluated to determine if the shellcode findings are legitimate, or if the shellcode findings are false positive shellcode findings. Legitimate shellcode findings can be determined based not simply upon patterns associated with the suspected shellcode itself, but also based upon a pattern of bit-level entropy in the memory around the suspected shellcode. Mathematical models of the memory can be generated and analyzed to determine if the shellcode finding is legitimate.

Abstract: A method disclosed herein includes acts of receiving code at a Just-in-Time compiler executing in an application on a computing device and compiling the code to generate machine code and causing the machine code to be placed on at least one page that is accessible by at least one processor on the computing device, wherein the Just-in-Time compiler compiles the code utilizing at least one technique for preventing a Just-in-Time spraying attack.

Abstract: Most machines in an organization's computer network connect to the Internet and create web traffic logs which allow analysis of HTTP traffic in a simple, centralized way. The web traffic logs may contain error reports and error reports contain significant information that can be used to detect network security. By reviewing the error reports, significant information about a network and its security can be found as common sources of network security weakness may be watched for in the error reports.