Abstract: Introduced here are various embodiments for selectively assigning a query to an expert. A network-accessible server system may receive a query from a client device indicating a question or project proposal. The query text may be parsed and attributes of the query may be determined by inspecting the parsed query text. The query attributes may be compared with attributes associated with a pool of experts with various specialties and expertise in various fields. The network-accessible server system may match the query attributes with attributes associated with a first expert with a similarity that exceeds a threshold similarity level to identify that an expertise of the first expert matches the requested expertise in the query. The first expert may be assigned to the query and prompted to provide a response to the query.

Abstract: Introduced here are various embodiments for selectively assigning a query to an expert. A network-accessible server system may receive a query from a client device indicating a question or project proposal. The query text may be parsed and attributes of the query may be determined by inspecting the parsed query text. The query attributes may be compared with attributes associated with a pool of experts with various specialties and expertise in various fields. The network-accessible server system may match the query attributes with attributes associated with a first expert with a similarity that exceeds a threshold similarity level to identify that an expertise of the first expert matches the requested expertise in the query. The first expert may be assigned to the query and prompted to provide a response to the query.

Abstract: The current invention is a method of fully automated target identification of a phishing website if a website requests input data from user with deceptive contents (logo, URL path, text in html) and a randomized/wrong data is provided and the website is redirecting to a different domain related with the logo, URL path or text in html. By determining existence of relationships, the website is detected as phishing and the phishing target is automatically identified.

Abstract: There is provided a method to eliminate data-theft through a phishing website by creating a layer of control between the user and the website to be visited that prevents submission of sensitive data to malicious servers. When there is a form submit event in a webpage, the data that is input (by the user or automatically) is modified by a data deception layer in a random manner that disguises the authentic content, while preserving the format of the data. Visual cues are provided to indicate that the data deception is enabled and that fake/generated data is being submitted instead of real data. The generated fake data is sent to unknown (potentially malicious) server while the users' actual private data is preserved (never submitted), with the results of the server response visible to the user.

Abstract: There is provided a method to detect phishing websites so as to protect users from sending their sensitive information to criminal servers. When browsing a web site having an input form asking sensitive information, the input fields are recorded (i.e. username field and password field). Then false credentials are generated and submitted in background. The new control layer then checks the response page content whether it includes an input form and if there is an input, it checks whether the form has the same fields as the first form. If the responded page does not have a form, or it has a form but includes different fields than the initial page's form, then the original site is identified as phishing.

Abstract: There is provided a method to detect phishing websites so as to protect users from sending their sensitive information to criminal servers. When browsing a web site having an input form asking sensitive information, the input fields are recorded (i.e. username field and password field). Then false credentials are generated and submitted in background. The new control layer then checks the response page content whether it includes an input form and if there is an input, it checks whether the form has the same fields as the first form. If the responded page does not have a form, or it has a form but includes different fields than the initial page's form, then the original site is identified as phishing.

Abstract: There is provided a method to detect phishing websites so as to protect users from sending their sensitive information to criminal servers. When browsing a web site having an input form asking sensitive information, the input fields are recorded (i.e. username field and password field). Then false credentials are generated and submitted in background. The new control layer then checks the response page content whether it includes an input form and if there is an input, it checks whether the form has the same fields as the first form. If the responded page does not have a form, or it has a form but includes different fields than the initial page's form, then the original site is identified as phishing.

Abstract: Introduced here are various embodiments for selectively assigning a query to an expert. A network-accessible server system may receive a query from a client device indicating a question or project proposal. The query text may be parsed and attributes of the query may be determined by inspecting the parsed query text. The query attributes may be compared with attributes associated with a pool of experts with various specialties and expertise in various fields. The network-accessible server system may match the query attributes with attributes associated with a first expert with a similarity that exceeds a threshold similarity level to identify that an expertise of the first expert matches the requested expertise in the query. The first expert may be assigned to the query and prompted to provide a response to the query.

Abstract: A method and system to identify and detect zero-day malware applications based on their behavioural analysis is disclosed. A new type of signature will be created out of dynamic behaviours of the applications, by monitoring and extracting some pre-defined features of the application such as file read/write, service start, loaded classes, incoming/outgoing network data which are gathered from the application at runtime. The method incorporates two steps for performing the identification: first, the dynamic behaviour is monitored and a pattern is extracted, then the activities of the actual application running on computer desktop or mobile device are intercepted and compared with the pattern previously extracted.