Abstract: The present invention provides a system for identifying exceptional behavior of a hardware or software component. According to one embodiment, the system comprises an operational metric calculator that is operative to sample a first behavior of an operational metric and a second behavior of the operational metric. The operational metric may be any metric that quantifies the operation of a hardware or software component, as well as combinations thereof. A baseline threshold calculator is operative to calculate a baseline threshold on the basis of the first sampled behavior of the operational metric. The baseline threshold is applied by a baseline threshold analyzer to the second operational metric to generate an alarm when the second sampled behavior of the operational metric deviates from the baseline threshold.

Abstract: A method for detecting security vulnerabilities in a web application includes analyzing the client requests and server responses resulting therefrom in order to discover pre-defined elements of the application's interface with external clients and the attributes of these elements. The client requests are then mutated based on a pre-defined set of mutation rules to thereby generate exploits unique to the application. The web application is attacked using the exploits and the results of the attack are evaluated for anomalous application activity.

Abstract: A method for detecting security vulnerabilities in a web application includes analyzing the client requests and server responses resulting therefrom in order to discover pre-defined elements of the application's interface with external clients and the attributes of these elements. The client requests are then mutated based on a pre-defined set of mutation rules to thereby generate exploits unique to the application. The web application is attacked using the exploits and the results of the attack are evaluated for anomalous application activity.

Abstract: A method for detecting security vulnerabilities in a web application includes analyzing the client requests and server responses resulting therefrom in order to discover pre-defined elements of the application's interface with external clients and the attributes of these elements. The client requests are then mutated based on a pre-defined set of mutation rules to thereby generate exploits unique to the application. The web application is attacked using the exploits and the results of the attack are evaluated for anomalous application activity.

Abstract: A method for detecting security vulnerabilities in a web application includes analyzing the client requests and server responses resulting therefrom in order to discover pre-defined elements of the application's interface with external clients and the attributes of these elements. The client requests are then mutated based on a pre-defined set of mutation rules to thereby generate exploits unique to the application. The web application is attacked using the exploits and the results of the attack are evaluated for anomalous application activity.