Abstract: A plate fin fluid processing device includes active layers, where each active layer includes a fin plate sandwiched between parting sheets so that an active fluid space is defined between the parting sheets. The active layers include an outermost active layer having an inlet and an outlet. A contingent layer body is positioned adjacent to the outermost active layer and includes a fin plate positioned between a parting sheet and a cap sheet. The contingent layer body has a fluid space that is sealed with respect to the atmosphere. A pressure monitoring system is in communication with the fluid space of the contingent layer body. An emergency pressure relief device is configured to release a pressure within the fluid space if a preset pressure is exceeded.

Abstract: A device may receive an instruction to classify software. The device may identify a group of one or more user interfaces associated with the software based on receiving the instruction to classify the software. The device may determine a group of one or more user interface signatures associated with the group of one or more user interfaces. A user interface signature may include information, associated with a user interface in the group of one or more user interfaces, that may be used to classify the software. The device may generate information that identifies a classification of the software based on the group of one or more user interface signatures and based on known signature information. The known signature information may include information that corresponds to a correct software classification. The device may output the information that identifies the classification of the software.

Abstract: A device may identify a plurality of files for a multi-file malware analysis. The device may execute the plurality of files in a malware testing environment. The device may monitor the malware testing environment for behavior indicative of malware. The device may detect the behavior indicative of malware. The device may perform a first multi-file malware analysis or a second multi-file malware analysis based on detecting the behavior indicative of malware. The first multi-file malware analysis may include a partitioning technique that partitions the plurality of files into two or more segments of files to identify a file, included in the plurality of files, that includes malware. The second multi-file malware analysis may include a scoring technique that modifies a plurality of malware scores, corresponding to the plurality of files, to identify the file, included in the plurality of files, that includes malware.

Abstract: A device may receive data from a first endpoint device. The device may identify a network protocol. The network protocol may be associated with receiving the data. The device may identify a format. The format may be associated with encoding textual information in the data. The device may determine, based on the format and the network protocol, text in the data. The device may determine whether the text includes a reference from a plurality of references. The plurality of references may identify addresses associated with malicious devices. The device may selectively forward the data to a second endpoint device based on determining whether the text includes the reference.

Abstract: A device may receive an instruction to automatically install a program using a click area prediction model. The click area prediction model may be associated with predicting a click area of a user interface that, when selected, causes a program installation procedure to proceed. The device may identify an installation user interface associated with installing the program. The device may determine a group of regions included in the installation user interface. The device may identify sets of features associated with the group of regions. The device may determine, based on the sets of features and the click area prediction model, a group of scores associated with the group of regions. The device may identify a particular region as a predicted click area based on the group of scores. The device may select the predicted click area to attempt to cause the program installation procedure to proceed.

Abstract: A liquid dispensing device includes a liquid extraction system that extracts a liquid from a container. The liquid dispensing device includes an identification system that identifies a type of the liquid. The liquid dispensing device includes a liquid preservation system that prevents degradation of the liquid. The liquid may be wine or other liquids.

Abstract: A liquid dispensing device includes a needle. The needle is adapted to penetrate a container without tearing out a portion of the container. The portion of the container is near a point of penetration on the container. The liquid dispensing device includes a motion control system. The motion control system is configured to rotate the needle while the needle penetrates the container.

Abstract: A device may determine that a file of a client device is a malicious file. The device may obtain remote access to the client device using a connection tool. The connection tool may provide access and control of the client device. The remote access may include access to a file location of the malicious file. The device may determine file information associated with the malicious file using the remote access to the client device. The device may select one or more remediation actions based on the file information. The device may cause the one or more remediation actions to be executed using the remote access to the client device.

Abstract: A device may receive an instruction to classify software. The device may identify a group of one or more user interfaces associated with the software based on receiving the instruction to classify the software. The device may determine a group of one or more user interface signatures associated with the group of one or more user interfaces. A user interface signature may include information, associated with a user interface in the group of one or more user interfaces, that may be used to classify the software. The device may generate information that identifies a classification of the software based on the group of one or more user interface signatures and based on known signature information. The known signature information may include information that corresponds to a correct software classification. The device may output the information that identifies the classification of the software.

Abstract: A device may receive an instruction to classify software. The device may identify a group of one or more user interfaces associated with the software based on receiving the instruction to classify the software. The device may determine a group of one or more user interface signatures associated with the group of one or more user interfaces. A user interface signature may include information, associated with a user interface in the group of one or more user interfaces, that may be used to classify the software. The device may generate information that identifies a classification of the software based on the group of one or more user interface signatures and based on known signature information. The known signature information may include information that corresponds to a correct software classification. The device may output the information that identifies the classification of the software.

Abstract: A device may receive a trigger to determine whether a malicious file is operating on a client device. The device may determine a network activity profile associated with the malicious file based on receiving the trigger to determine whether the malicious file is operating on the client device. The network activity profile may include information regarding network activity associated with the malicious file when the malicious file is executed in a testing environment. The device may monitor network activity associated with the client device. The device may determine that the network activity associated with the client device matches the network activity profile associated with the malicious file based on monitoring the network activity associated with the client device. The device may provide information indicating that the network activity associated with the client device matches the network activity profile associated with the malicious file.

Abstract: A device may receive a file to be analyzed in a sandbox environment, and may determine configuration information for configuring the sandbox environment. The configuration information may be determined based on at least one of: file information associated with the file to be analyzed, or client device information associated with a client device for which the file is intended. The device may configure the sandbox environment using the configuration information. The configuration information may identify a system configuration for the sandbox environment. The device may analyze the file in the sandbox environment based on configuring the sandbox environment using the configuration information.

Abstract: A system may determine to perform an internal and an external malware detection operation to detect a malware infection associated with a client device. The system may perform the internal operation by modifying an environment, executing on a particular device, to form a modified environment. The system may perform the external operation by performing a communication from the particular device. The system may monitor the modified environment for a first behavior indicative of the malware infection, and may monitor a result of performing the communication for a second behavior indicative of the malware infection. The system may detect that the first or second behavior has occurred. The system may provide a notification that the client device is infected with malware based on detecting that the first or second behavior has occurred. The notification may cause one or more network devices to block network traffic to or from the client device.

Abstract: Embodiments of the present disclosure are directed to extracting the liquid from a container (such as a bottle of wine) in varying amounts at a desired serving temperature while preserving the liquid for later consumption. Various embodiments may be built within an appliance so the consumer experience is fully automated. Embodiments may include a variety of wine preservation techniques including the use of inert gases that prevent the oxidation of wine.

Abstract: A plate fin fluid processing device includes active layers, where each active layer includes a fin plate sandwiched between parting sheets so that an active fluid space is defined between the parting sheets. The active layers include an outermost active layer having an inlet and an outlet. A contingent layer body is positioned adjacent to the outermost active layer and includes a fin plate positioned between a parting sheet and a cap sheet. The contingent layer body has a fluid space that is sealed with respect to the atmosphere. A pressure monitoring system is in communication with the fluid space of the contingent layer body. An emergency pressure relief device is configured to release a pressure within the fluid space if a preset pressure is exceeded.

Abstract: A security device may receive actual behavior information associated with an object. The actual behavior information may identify a first set of behaviors associated with executing the object in a live environment. The security device may determine test behavior information associated with the object. The test behavior information may identify a second set of behaviors associated with testing the object in a test environment. The security device may compare the first set of behaviors and the second set of behaviors to determine a difference between the first set of behaviors and the second set of behaviors. The security device may identify whether the object is an evasive malicious object based on the difference between the first set of behaviors and the second set of behaviors. The security device may provide an indication of whether the object is an evasive malicious object.

Abstract: A device may identify exfiltration information to be used to detect data exfiltration. The exfiltration information may be associated with a file being tested to determine whether the file exfiltrates data. The exfiltration information may include a resource identifier that identifies a resource to be used to detect the data exfiltration. The device may determine that the resource, to be used to detect the data exfiltration, has been accessed. The device may identify, based on determining that the resource has been accessed, the file associated with the exfiltration information. The device may perform an action, associated with the file, to counteract the data exfiltration based on determining that the resource has been accessed and based on identifying the file.

Abstract: A client device may provide, to a host device, a request to access a website associated with a host domain. The client device may receive, based on the request, verification code that identifies a verification domain and a resource, associated with the verification domain, to be requested to verify a public key certificate. The verification domain may be different from the host domain. The client device may execute the verification code, and may request the resource from the verification domain based on executing the verification code. The client device may determine whether the requested resource was received, and may selectively perform a first action or a second action based on determining whether the requested resource was received. The first action may indicate that the public key certificate is not valid, and the second action may indicate that the public key certificate is valid.

Abstract: A device may receive or generate a message for routing to a destination on a communication channel. The communication channel may have been established between a source and the destination. The device may perform a first determination of policy information related to at least one of the message, the destination, or the source of the message. The policy information may describe an action for a network device to perform. The device may associate a policy token with the message. The policy token may describe or identify the policy information. The device may provide the message with the associated policy token to the network device on the communication channel to cause the network device to perform a second determination of the policy information based on the policy token, to perform the action described by the policy information, and to provide the message on the communication channel.

Abstract: A device may receive an object. The device may determine object information for the object. The device may cause an internet search, based on the object information, to be performed to determine Internet search results. The object information may be provided as one or more Internet search queries for the Internet search. The device may receive the Internet search results based on causing the Internet search to be performed. The Internet search results may be related to the object information. The device may analyze the Internet search results to determine Internet-based object information. The device may store or provide the Internet-based object information to permit a determination as to whether the object is malicious.