Abstract: Techniques for process security validation are described herein. In one example, a method includes determining, via a processor, that a process is in a first idle state based at least in part on system activity and process activity being below an activity threshold. The method can include detecting, via the processor, that the first idle state of the process transitions to an active state of the process based at least in part on the system activity or the process activity being above the activity threshold, and detecting, via the processor, that the active state of the process transitions to a second idle state based at least in part on the system activity and the process activity being below the activity threshold. Furthermore, the method can include generating, via the processor, the security validation data in response to detecting that the process has executed malicious content during the active state.

Abstract: Techniques for determining privacy leaks are described herein. The techniques may include (i) providing private data as input for an application, wherein the private data includes a signature identifying the private data; (ii) monitoring an output of the application for a presence of the signature; and (iii) determining that a private data leak has occurred in the application, wherein the determining is based, at least in part, on the presence of the signature in the output.

Abstract: Techniques for process security validation are described herein. In one example, a method includes determining, via a processor, that a process is in a first idle state based at least in part on system activity and process activity being below an activity threshold. The method can include detecting, via the processor, that the first idle state of the process transitions to an active state of the process based at least in part on the system activity or the process activity being above the activity threshold, and detecting, via the processor, that the active state of the process transitions to a second idle state based at least in part on the system activity and the process activity being below the activity threshold. Furthermore, the method can include generating, via the processor, the security validation data in response to detecting that the process has executed malicious content during the active state.

Abstract: Techniques for process security validation are described herein. In one example, a method includes determining, via a processor, that a process is in a first idle state based at least in part on system activity and process activity being below an activity threshold. The method can include detecting, via the processor, that the first idle state of the process transitions to an active state of the process based at least in part on the system activity or the process activity being above the activity threshold, and detecting, via the processor, that the active state of the process transitions to a second idle state based at least in part on the system activity and the process activity being below the activity threshold. Furthermore, the method can include generating, via the processor, the security validation data in response to detecting that the process has executed malicious content during the active state.

Abstract: Techniques for determining privacy leaks are described herein. The techniques may include (i) providing private data as input for an application, wherein the private data includes a signature identifying the private data; (ii) monitoring an output of the application for a presence of the signature; and (iii) determining that a private data leak has occurred in the application, wherein the determining is based, at least in part, on the presence of the signature in the output.

Abstract: Techniques for process security validation are described herein. In one example, a method includes determining, via a processor, that a process is in a first idle state based at least in part on system activity and process activity being below an activity threshold. The method can include detecting, via the processor, that the first idle state of the process transitions to an active state of the process based at least in part on the system activity or the process activity being above the activity threshold, and detecting, via the processor, that the active state of the process transitions to a second idle state based at least in part on the system activity and the process activity being below the activity threshold. Furthermore, the method can include generating, via the processor, the security validation data in response to detecting that the process has executed malicious content during the active state.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Crawling a browser-accessible application by causing a target application and a bridge application to run concurrently in a browser-controllable player, and iteratively receiving from the bridge application current state information of the target application, storing the state information on a data storage device if the state information is not found on the data storage device, where the state information is stored as a descendant state of an initial state of the target application, and interacting with the target application in accordance with a predefined simulation algorithm, thereby effecting a new state of the target application, until a predefined termination condition is reached.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Crawling a browser-accessible application by causing a target application and a bridge application to run concurrently in a browser-controllable player, and iteratively receiving from the bridge application current state information of the target application, storing the state information on a data storage device if the state information is not found on the data storage device, where the state information is stored as a descendant state of an initial state of the target application, and interacting with the target application in accordance with a predefined simulation algorithm, thereby effecting a new state of the target application, until a predefined termination condition is reached.

Abstract: Crawling a browser-accessible application by causing a target application and a bridge application to run concurrently in a browser-controllable player, and iteratively receiving from the bridge application current state information of the target application, storing the state information on a data storage device if the state information is not found on the data storage device, where the state information is stored as a descendant state of an initial state of the target application, and interacting with the target application in accordance with a predefined simulation algorithm, thereby effecting a new state of the target application, until a predefined termination condition is reached.

Abstract: Crawling a browser-accessible application by causing a target application and a bridge application to run concurrently in a browser-controllable player, and iteratively receiving from the bridge application current state information of the target application, storing the state information on a data storage device if the state information is not found on the data storage device, where the state information is stored as a descendant state of an initial state of the target application, and interacting with the target application in accordance with a predefined simulation algorithm, thereby effecting a new state of the target application, until a predefined termination condition is reached.