Abstract: Polymorphic non-attributable processes and architectures to monitor threat domains (e.g., pharming or phishing websites) are disclosed. Obfuscated requests may be generated by control servers to be blended in with normal traffic sent over cloud networks with randomized exit nodes or with normal traffic sent through an anonymization network. Requests may be sent at randomized intervals or time periods determined algorithmically. The requests are obfuscated in order to mask the origination information and location so that the threat actor does not detect that the website is being monitored. User agents may be spoofed and requests may present as if they originated from residential IP addresses. Automatic real-time monitoring can be provided to determine when sites resolve and are addressable. Fingerprint information, screenshots, security certificate, and other threat domain data can be captured. Request responses can be scanned for threat indicia.

Abstract: A system for operating a remote desktop platform at a remote client device is provided. The remote desktop platform may be launched at the remote client device. The entity network may store a secure container including files, applications and profile settings of a user. The remote client device may retrieve the secure container at each execution of the remote desktop platform. The secure container may be stored temporarily at the remote client device. The remote client device, during the operation of the remote desktop platform, may leverage the hardware and software of the remote client device for accessing and managing the files and applications stored in the secure container. The remote desktop platform may maintain synchronization with the entity network by syncing, at pre-determined intervals, the files and applications stored at the remote client device with the files and applications stored at the entity network.

Abstract: Various aspects of the disclosure relate to automated monitoring and detection of computing threats. A threat detection computing system is configured to monitor for security threats on a networked system. The threat detection system monitors process calls to detect otherwise benign activity that exceeds an expected threshold and identifies threat actor actions that would otherwise go un-noticed and be associated with normal computer activity.

Abstract: Polymorphic non-attributable processes and architectures to monitor threat domains (e.g., pharming or phishing websites) are disclosed. Obfuscated requests may be generated by control servers to be blended in with normal traffic sent over cloud networks with randomized exit nodes or with normal traffic sent through an anonymization network. Requests may be sent at randomized intervals or time periods determined algorithmically. The requests are obfuscated in order to mask the origination information and location so that the threat actor does not detect that the website is being monitored. User agents may be spoofed and requests may present as if they originated from residential IP addresses. Automatic real-time monitoring can be provided to determine when sites resolve and are addressable. Fingerprint information, screenshots, security certificate, and other threat domain data can be captured. Request responses can be scanned for threat indicia.

Abstract: Techniques are provided for delayed processing for arm policy determination for content management system messaging, including, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Abstract: An example powered appliance support system may include a shoulder strap and a powered appliance support strap. The shoulder step may include a padded portion to rest upon a shoulder of a person wearing the shoulder strap and a strap portion extending from the padded portion. The elastomeric stretcher may include a single body, wherein the elastomeric stretcher does not undergo stretching until experiencing a stretch triggering load at least 1 kg and no greater than 7 kg, wherein the elastomeric stretcher is formed from rubber or an elastomeric polymer and has first and second ends that inwardly taper.

Abstract: An example powered appliance support strap may include a first portion to extend from a continuous loop of a shoulder strap, a second portion to extend from a powered appliance to be manually carried by a person wearing the shoulder strap and a stretcher extending between the first portion and the second portion. The stretcher does not undergo stretching until experiencing a stretch triggering load at least 1 kg and no greater than 7 kg.

Abstract: Techniques are provided for delayed processing for arm policy determination for content management system messaging, including, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Abstract: Computer-implemented techniques include, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Abstract: An example powered appliance support strap may include a first portion to extend from a continuous loop of a shoulder strap, a second portion to extend from a powered appliance to be manually carried by a person wearing the shoulder strap and a stretcher extending between the first portion and the second portion. The stretcher does not undergo stretching until experiencing a stretch triggering load at least 1 kg and no greater than 7 kg.

Abstract: Apparatus for enabling distribution of electric power, fusing, and/or ground connection in electrical systems is provided. The apparatus may include an extensible, interlocking, modular block of multiple-use modules. Each module may be configured to include a fuse or a link bar mounted within it. Each module may accept multiple sizes and types of fuses. Each module may be configured to include an external link bar for providing an electrical connection to at least one other module. Apparatus may enable distribution of electrical power, fused power, and/or ground connection from a power source to a plurality of electrical components while organizing and minimizing wired connections.

Abstract: Techniques are provided for delayed processing for arm policy determination for content management system messaging, including, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Abstract: Software (such as server products) operating in a complex networked environment often run on multi-machine installations that are known as machine clusters. A server product can be tested on a server machine type. The server product can be tested by tracking the constituent machines of a machine cluster, and configuring and recording the roles that each machine in the machine cluster plays. Scenarios targeting a single server machine-type can be seamlessly mapped from the single machine scenario to a machine cluster of any number of machines, while handling actions such as executing tests and gathering log files from all machines of a machine cluster as a unit.

Abstract: Computing environments, each executing at least one software program, are monitored for failures occurring during execution of the software program. Information associated with the failure, such as an identification of the software program and a failure type describing the failure, is recorded. The failure information is quantified to report the number of times the software program has failed or the number of times a particular failure has occurred. The quantified data may provide help in prioritizing what program or what failures merit investigation and resolution. Reports may be received from failing computing systems stopped at a state following the occurrence of the failure. In response, hold information is checked to determine whether to instruct the failing computing system to hold a state existing upon the occurrence of the failure.

Abstract: Software (such as server products) operating in a complex networked environment often run on multi-machine installations that are known as machine clusters. A server product can be tested on a server machine type. The server product can be tested by tracking the constituent machines of a machine cluster, and configuring and recording the roles that each machine in the machine cluster plays. Scenarios targeting a single server machine-type can be seamlessly mapped from the single machine scenario to a machine cluster of any number of machines, while handling actions such as executing tests and gathering log files from all machines of a machine cluster as a unit.

Abstract: Computing environments, each executing at least one software program, are monitored for failures occurring during execution of the software program. Information associated with the failure, such as an identification of the software program and a failure type describing the failure, is recorded. The failure information is quantified to report the number of times the software program has failed or the number of times a particular failure has occurred. The quantified data may provide help in prioritizing what program or what failures merit investigation and resolution. Reports may be received from failing computing systems stopped at a state following the occurrence of the failure. In response, hold information is checked to determine whether to instruct the failing computing system to hold a state existing upon the occurrence of the failure.

Abstract: Failure tagging may be provided. A plurality of tests may be initiated on a program module and output resulting from the plurality of tests may be received. The output resulting from the plurality of tests may be determined to comprise at least one failure. The at least one failure may comprise an unknown failure or a known failure. Results of the plurality of tests indicating the failure may be transmitted. In addition, a request to stop one or more of a plurality of computers on a failure may be received when one of the plurality of computers encounters the failure. In addition, the program module may be transmitted to the plurality of computers configured to run tests on the program module. The one of the plurality of computers may be stopped on the failure when the one of the plurality of computers encounters the failure identified by the request.

Abstract: Test software on a test client dynamically locates necessary files by replacing indirect file references in test code with actual file paths. File paths are determined using one or more root paths couple with one or more test parameters being used as a portion of the actual file path. Multiple root paths may be provided in a prioritized list, such that if a file is not found in a first location, additional locations are checked. Test software on a test controller receives a command to perform a test run and queries a data store for test information. A message is assembled using query results and delivered to one or more test clients for execution.