Abstract: Source code of a plurality of web pages including script code is statically analyzed. A page including a potential vulnerability is identified based on the static analysis. A page not including a potential vulnerability is identified based on the static analysis. The web page including the potential vulnerability is dynamically analyzed using a set of test payloads. The page not including the potential vulnerability is dynamically analyzed using a subset of the set of test payloads, the subset including fewer test payloads than the set of test payloads.

Abstract: Source code of a plurality of web pages including script code is statically analyzed. A page including a potential vulnerability is identified based on the static analysis. A page not including a potential vulnerability is identified based on the static analysis. The web page including the potential vulnerability is dynamically analyzed using a set of test payloads. The page not including the potential vulnerability is dynamically analyzed using a subset of the set of test payloads, the subset including fewer test payloads than the set of test payloads.

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: A method, computer program product, and computer system for sending, by a first computing device, a payload from a plurality of payloads to a second computing device. A response from the second computing device responding to the payload is received at the first computing device. It is determined whether the payload has successfully attacked an application executing at the second computing device based upon, at least in part, the response. If not, at least a portion of the plurality of payloads that shares a structural overlap with the first payload is identified. At least a second payload of the portion is prevented from being sent to the second computing device in response to identifying that the second payload shares the structural overlap with the first payload.

Abstract: A method, computer program product, and computer system for sending, by a first computing device, a payload from a plurality of payloads to a second computing device. A response from the second computing device responding to the payload is received at the first computing device. It is determined whether the payload has successfully attacked an application executing at the second computing device based upon, at least in part, the response. If not, at least a portion of the plurality of payloads that shares a structural overlap with the first payload is identified. At least a second payload of the portion is prevented from being sent to the second computing device in response to identifying that the second payload shares the structural overlap with the first payload.

Abstract: Automatically classifying security vulnerabilities in computer software applications by identifying candidate security vulnerabilities in a learning set including at least a first computer software application, classifying each of the candidate security vulnerabilities using predefined classifications, determining, for each of the candidate security vulnerabilities, values for predefined properties, creating a set of correlations between the property values and the classifications of the candidate security vulnerabilities, identifying a candidate security vulnerability in a second computer software application, determining, for the candidate security vulnerability in the second computer software application, values for the predefined properties, and using the set of correlations to classify the candidate security vulnerability in the second computer software application with a classification from the predefined classifications that best correlates with the property values of the candidate security vulnerabili

Abstract: A method, computer program product, and computer system for sending, by a first computing device, a payload from a plurality of payloads to a second computing device. A response from the second computing device responding to the payload is received at the first computing device. It is determined whether the payload has successfully attacked an application executing at the second computing device based upon, at least in part, the response. If not, at least a portion of the plurality of payloads that shares a structural overlap with the first payload is identified. At least a second payload of the portion is prevented from being sent to the second computing device in response to identifying that the second payload shares the structural overlap with the first payload.

Abstract: A method, computer program product, and computer system for sending, by a first computing device, a payload from a plurality of payloads to a second computing device. A response from the second computing device responding to the payload is received at the first computing device. It is determined whether the payload has successfully attacked an application executing at the second computing device based upon, at least in part, the response. If not, at least a portion of the plurality of payloads that shares a structural overlap with the first payload is identified. At least a second payload of the portion is prevented from being sent to the second computing device in response to identifying that the second payload shares the structural overlap with the first payload.

Abstract: Automatically classifying security vulnerabilities in computer software applications by identifying candidate security vulnerabilities in a learning set including at least a first computer software application, classifying each of the candidate security vulnerabilities using predefined classifications, determining, for each of the candidate security vulnerabilities, values for predefined properties, creating a set of correlations between the property values and the classifications of the candidate security vulnerabilities, identifying a candidate security vulnerability in a second computer software application, determining, for the candidate security vulnerability in the second computer software application, values for the predefined properties, and using the set of correlations to classify the candidate security vulnerability in the second computer software application with a classification from the predefined classifications that best correlates with the property values of the candidate security vulnerabili

Abstract: A method includes performing taint analysis of a computer program and determining an original set of paths from sources to sinks. Each path corresponds to a vulnerability. The method includes determining for each variable whose type is a collection and is accessed in one of the paths in the original set of paths whether the variable points to a concrete value whose internal state is not tainted according to the taint analysis. The method further includes, for each of the variables whose type is a collection found not to be tainted according to the taint analysis, determining all points in the computer program where a membership check against the collection is performed. The method also includes, for each of the points, determining corresponding paths and removing those paths from the original set of paths to create a reduced set of paths. Apparatus and computer readable program products are also disclosed.

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: Source code of a plurality of web pages including script code is statically analyzed. A page including a potential vulnerability is identified based on the static analysis. A page not including a potential vulnerability is identified based on the static analysis. The web page including the potential vulnerability is dynamically analyzed using a set of test payloads. The page not including the potential vulnerability is dynamically analyzed using a subset of the set of test payloads, the subset including fewer test payloads than the set of test payloads.

Abstract: Source code of a plurality of web pages including script code is statically analyzed. A page including a potential vulnerability is identified based on the static analysis. A page not including a potential vulnerability is identified based on the static analysis. The web page including the potential vulnerability is dynamically analyzed using a set of test payloads. The page not including the potential vulnerability is dynamically analyzed using a subset of the set of test payloads, the subset including fewer test payloads than the set of test payloads.

Abstract: A method includes performing taint analysis of a computer program and determining an original set of paths from sources to sinks. Each path corresponds to a vulnerability. The method includes determining for each variable whose type is a collection and is accessed in one of the paths in the original set of paths whether the variable points to a concrete value whose internal state is not tainted according to the taint analysis. The method further includes, for each of the variables whose type is a collection found not to be tainted according to the taint analysis, determining all points in the computer program where a membership check against the collection is performed. The method also includes, for each of the points, determining corresponding paths and removing those paths from the original set of paths to create a reduced set of paths. Apparatus and computer readable program products are also disclosed.