5 results about "Executable" patented technology

The invention provides a malicious software API (Application Program Interface) call sequence detection method based on graph convolution. The method comprises the following steps: acquiring and recording API call sequence information of processes and sub-processes when a large number of software samples run; performing vectorization processing on the API calling sequence information; extracting aparameter relationship, a dependency relationship and a sequence relationship of the API function; establishing an API call graph; inputting the API call graph into a graph convolutional neural network for training to obtain a malicious software detection network model; collecting API calling sequence information of processes and sub-processes when the executable file to be detected runs; constructing an API call graph of the executable file to be detected, then inputting the API call graph of the executable file to be detected into the malicious software detection network model, If the output result of the malicious software detection network model is 1, indicating that the judgment result is malicious software; If the output result of the malicious software detection network model is 0,indicating that the judgment result is normal software.

Disclosed are methods, circuits, devices, systems and functionally associated machine executable code for enhanced automated software code testing. A system for enhanced automated software code testing comprises a processing module for wrapping test script commands, of a software testing framework, with command execution monitoring or control code. The command execution monitoring or control code, is configured to collect and report test script execution parameters, resulting from test script executions. A failure root cause identification module automatically determines one or more root causes of a failure in the execution of a test script run, based on the analysis of test script execution parameters from prior test runs.

Described is a system for protecting sensitive information that is hardcoded in polynomial-size ordered binary decision diagram (POBDD) form. A software executable represented as a POBDD having sensitive information embedded therein is obfuscated into an obfuscated POBDD. An input query on the obfuscated POBDD is evaluated, and the sensitive information is revealed only if the input query is a correct input. Thus, an adversary is prevented from extracting the sensitive information embedded in the POBDD.