Abstract: A method and a system for phishing detection includes converting unauthenticated web content to a browser image, determining that the browser image has a visual similarity to visual characteristics of a legitimate website, determining that a top-level domain (TLD) of the unauthenticated web content is different from a TLD of the legitimate website, and responsively determining that the unauthenticated web content is a phishing attack.

Abstract: In one embodiment, the invention provides a method for a system to provide information based on a query, the method comprising: performing a first search of at least one first source for information responsive to the query; providing a result of the search to a user; searching documents using at least a part of the result of the search; providing the user with at least one example of usage of the result of the search obtained from the searching of stored documents; based on user input, performing a second search of at least one second source for information responsive to the query; and providing a result of said second search to the user. The invention provides ways of showing the most relevant examples from parallel text corpora according to a ranking.

Abstract: An automated testing framework enables automated testing of complex software systems. The framework can be configured for test selection, flow definition, and automated scheduled testing of complex computer systems. The framework has facilities for result analysis, comparison of key performance indicators with predefined target values, and test management.

Abstract: An automated testing framework enables automated testing of complex software systems. The framework can be configured for test selection, flow definition, and automated scheduled testing of complex computer systems. The framework has facilities for result analysis, comparison of key performance indicators with predefined target values, and test management.

Abstract: The management of a browser cache is modified, such that when the browser is closed, only those cache files that are classified as potential security risks are erased. Other cache files are not deleted. File classification is based upon matching regular expressions consisting of the entries with a set of qualified content sources, and a set of qualified file names in the cache. Every cache file that fails to match at least one member of the set of content sources and one member of the set of file names is deleted upon browser close. An editable settings file contains the qualified content sources and the qualified file names.