Abstract: A method and/or system for processing an application for launch to determine whether it might be legitimate or non-legitimate, and if non-legitimate taking security action.

Abstract: A method and/or system for processing an application for launch to determine whether it might be legitimate or non-legitimate, and if non-legitimate taking security action.

Abstract: A system/method for preventing a computer virus from accessing message addresses is described. The system comprises an interception component or client plug-in that communicates with a messaging client and a messaging server. The interception component alters messages from the server and destined for the client. The interception component replaces message addresses in incoming messages with a unique identifier. The interception component also alters messages from the client destined for the server. The interception component replaces a unique identifier with a message addresses. A system/method for preventing keyboard sniffer programs from intercepting input, a system for preventing a computer virus from activating a send confirmation of a messaging client and a method for altering displayed objects to show encrypted data in decrypted form are also described and claimed. A system/method for reducing the impact of keyboard sniffer programs by altering keyboard input.

Abstract: A method of determining whether a page is a fraudulent page comprising the steps of: extracting a plurality of tokens from the page, (403) for each token, calculating a token probability being the probability of the token being in a fraudulent page (404), using the calculated token probabilities, calculating a page probability being the probability of the page being a fraudulent page (405), wherein the token probability of a token being in a fraudulent page is calculated based on a number of fraudulent pages and a number of non-fraudulent pages which contain the token from a training corpus of fraudulent pages and non-fraudulent pages.

Abstract: A method of determining whether a page is a fraudulent page comprising the steps of: extracting a plurality of tokens from the page, (403) for each token, calculating a token probability being the probability of the token being in a fraudulent page (404), using the calculated token probabilities, calculating a page probability being the probability of the page being a fraudulent page (405), wherein the token probability of a token being in a fraudulent page is calculated based on a number of fraudulent pages and a number of non-fraudulent pages which contain the token from a training corpus of fraudulent pages and non-fraudulent pages.