Palo Alto Networks, Inc.

Apple Inc.

Cong Zheng

Zhi Xu

Wenjun Hu

Zihang Xiao

Jiangxia Liu

ChienHua Lu

Tongbo Luo

Charles E Chang

Pouya Ghalei

Shunlong Xiao

Manpreet Singh

Yangjie Chang

Yangjie Cheng

Steve Chikin Lo

A battery circuit board includes a substrate, a first trace configured to receive a voltage and forming a first closed loop around a perimeter of the substrate, and a second trace forming a second closed loop around the perimeter of the substrate. The battery circuit board also includes an electrical assembly configured to determine a presence of an electrolyte on the battery circuit board in response to a short circuit between the first closed loop of the first trace and the second closed loop of the second trace.

Detecting electrolyte on circuit boards

Execution of an application in an application-level sandbox is disclosed. A request to launch an application is received by an operating system executing on a device. A determination is made that a stored copy of the application should be executed within an application-level sandbox. The stored copy of the application is executed in the application-level sandbox.

Application-level sandboxing on devices

Network traffic collectively associated with a set of communications made between a client device and a respective first and second resource during a usage of a program executed on the client device is monitored. At least of the monitored traffic associated with the second resource is encrypted. The encrypted traffic is categorized. A respective first and second policy to apply to the respective first and second communications is determined. The second policy is based at least in part on the categorization of the encrypted traffic.

Identifying security risks and enforcing policies on encrypted/encoded network communications

Evaluating samples is disclosed. A sample is received. A system component dependency graph is built for the sample. The system component dependency graph includes a plurality of nodes and at least one edge. A first node included in the plurality of nodes is one of: (1) a system component, (2) an indirect call component, or (3) a system event. The edge is an indirect call instruction. A verdict for the sample is determined based at least in part on the system component dependency graph.

Context-based analysis of applications

A sample is analyzed to determine a set of events that should be selected for performing by a dynamic analyzer executing the sample in an instrumented, emulated environment. The set of selected events is performed. In some cases, at least one emulator detection resistance action is performed. A maliciousness verdict is determined for the sample based at least in part on one or more responses taken by the sample in response to the set of selected events being performed by the dynamic analyzer.

Dynamic analysis techniques for applications

A sample is received for analysis. A determination is made that the sample was compiled for a CPU architecture that is different from a host CPU architecture. The sample is executed in an emulated user space corresponding to the CPU architecture for which the sample was compiled. The emulated user space is provided by executing a user space emulation utility in a virtual machine that shares the host CPU architecture.

Analyzing multiple CPU architecture malware samples

Techniques for providing a large scale high-interaction honeypot farm are disclosed. In some embodiments, a system/method/computer program product for providing a large scale high-interaction honeypot farm includes sending traffic detected at a sensor to a smart proxy for a honeypot farm that is executed in a honeypot cloud, wherein the traffic is forwarded attack traffic that is sent using a tunneling protocol, and wherein the honeypot farm includes a plurality of container images of distinct types of vulnerable services; selecting a matching type of vulnerable service from the plurality of container images of distinct types of vulnerable services based on a profile of the attack traffic; forwarding the traffic to an instance of the matching type of vulnerable service; and executing a security agent associated with the instance of the matching type of vulnerable service to identify a threat by monitoring behaviors and detecting anomalies or post exploitation activities.

Large scale high-interactive honeypot farm

Techniques for providing a smart proxy for a large scale high-interaction honeypot farm are disclosed. In some embodiments, a system/method/computer program product for providing a smart proxy for a large scale high-interaction honeypot farm includes receiving tunneled traffic at a smart proxy from a sensor for a honeypot farm that is executed in a honeypot cloud, wherein the tunneled traffic is forwarded attack traffic, and wherein the honeypot farm includes a plurality of container images of distinct types of vulnerable services; selecting a matching type of vulnerable service from the plurality of container images of distinct types of vulnerable services based on a profile of the attack traffic; and forwarding the tunneled traffic to an instance of the matching type of vulnerable service.

Smart proxy for a large scale high-interaction honeypot farm

A sample is analyzed to determine a set of events that should be selected for performing by a dynamic analyzer executing the sample in an instrumented, emulated environment. In some cases, analyzing the sample includes extracting the sample's user interface layout into a tree hierarchy of user interface elements. The set of selected events is performed. In some cases, at least one emulator detection resistance action is performed. A maliciousness verdict is determined for the sample based at least in part on one or more responses taken by the sample in response to the set of selected events being performed by the dynamic analyzer.

A virtualized storage for use in performing dynamic analysis on a sample is configured, at least in part by copying the sample to the virtualized storage. A virtual machine emulator is launched using a snapshot of a virtualized platform. The virtualized platform is previously configured to use the virtualized storage, and the snapshot is configured to use a placeholder file to occupy space for later use when installing the sample. A location of the copied sample in an image corresponding to the virtualized storage is determined. The copied sample is installed and dynamic analysis is performed on the sample.

A sample is received for analysis by a virtualized environment. A determination is made that the sample was compiled for a CPU architecture that is different from a host CPU architecture. The sample is executed in an emulated user space corresponding to the CPU architecture for which the sample was compiled. The emulated user space is provided by executing a user space emulation utility in a virtual machine that shares the host CPU architecture.

Growing community of inventors

San Jose, CA, United States of America

Cong Zheng