An integrated development environment (IDE) system that may provide runtime validation, and incremental compilation and linking of multiple schema resources for a query language such as e.g., GraphQL. The runtime validation may be performed during the incremental compilation and linking process. If errors in the source code are detected during the runtime validation process, the compilation and linking process may be stopped without generating runtime objects.

A method for processing trust and security for leased infrastructure includes: detecting a first audit event directed to the leased infrastructure; initiating, in response to detecting the first audit event, an execution of a first trust audit; making a first determination, based on a result of the first trust audit, that the first audit event is a verified event; and transmitting, in response to the first determination and to a computing device of a user leasing the leased infrastructure, first instructions for the computing device to display a first output notifying the user that the leased infrastructure is in a trusted domain.

Disclosed are systems, methods and computer readable mediums for intelligent and directed dynamic application security testing. The systems, methods and computer-readable mediums can be configured to receive an attack location and an attack type for a web-application, transmit the attack location and attack type to a ID-DAST platform, receive from the ID-DAST platform a payload, attack the web-application using the payload, and receive results of the attack.

A computing device is provided, including memory storing an instruction storage location. The computing device may further include a processor system including a plurality of processor threads. The processor system may suspend execution of one or more respective processor threads of the plurality of processor threads. The processor system may store one or more respective processor thread contexts of the one or more processor threads in the memory. The processor system may enter a system management mode (SMM). The processor system may determine that the instruction storage location includes a code update instruction. The processor system may perform a code update based on the code update instruction. The processor system may exit the SMM. The processor system may retrieve the one or more processor thread contexts from the memory and resume execution of the one or more processor threads without rebooting the computing device.

A computer-implemented method for bytecode class verification includes: encountering a class requiring verification of its bytecode during a run of an application; determining whether class relationship data for the class exists in a shared classes cache; in response to a determination that the class relationship data for the class does not exist in the shared classes cache: performing a linear bytecode walk of the bytecode to identify relationship data for the class and verify that the bytecode is well-formed; and storing the identified relationship data as the class relationship data for the class in the shared classes cache; in response to a determination that the class relationship data for the class does exist in the shared classes cache: retrieving the class relationship data for the class from the shared classes cache; and processing the class relationship data.

Provided is a non-transitory computer-readable recording medium that stores a control program causing a computer to execute a process, the process including determining whether first microcode stored in a first area of a storage device supports a processor, and when the first microcode does not support the processor, decompressing one of multiple sets of compressed second microcode stored in a second area of the storage device into the first area.

A computer implemented method of data decompression and verification includes decompressing a compressed data segment to generate a decompressed data region. The method also includes generating a segment vector array (SVA) including a number of segment vectors corresponding to data segments within the decompressed data region, each segment vector indicating a location and a size of a corresponding data segment. The method also includes transmitting the SVA to a chain plugin module and transmitting segment vector array data to a SVA-based message constructor. The method also includes constructing a SVA-based message including the location and size of data segments within the decompressed data region, and transmitting the SVA-based message to a hardware accelerator. The method also includes performing verification sessions at the hardware accelerator, each verification session corresponding to a specific data segment indicated by the SVA-based message.

A method of analyzing code is provided. The method includes generating an abstract representation of the code, identifying conditional statements in the abstract representation, populating a truth table for each conditional statement that has been identified with all possible outcomes of the conditional statement and assessing the truth table for each conditional statement to identify issues.

A testing model for heterogeneous client environments is enabled. A test of a computer system state transition may be specified. The test specification may include elements corresponding to test actions that cause the computer system state transition and elements corresponding to test conditions that are evaluated to generate the test results. A collection of pre-assembled executable components suitable for implementing specified tests at a wide variety of clients may be maintained, and particular test specifications may be mapped to a corresponding and optimal implementation subset of the collection. Test results may be determined based on one or more outputs of the implementation subset of executable components. A vendor and version independent browser driver may include code capable of identifying an operational set of browser capabilities among the superset of considered browser capabilities independent of vendor or version identification by a browser under test.

An example system includes a memory store of aggregate definitions. Each aggregate definition specifies a key value, a feature, a half-life value, and an aggregate operation metric to apply to a cross of the feature and the half-life value to generate aggregate metrics. The system also includes an aggregation engine that generates aggregate feature records from the input source based on the aggregate definitions and stores the aggregate feature records. An aggregate feature record includes an aggregate of the metric for the feature decayed over time using the half-life. The system also includes a query service that identifies, using the aggregate definitions, responsive aggregate feature records that satisfy parameters of a received request, applies the half-life to the responsive feature records, and provides the responsive feature records to a requester, the requester using the responsive feature records as input for a neural network.