Abstract: The present invention provides improved techniques that can be used to verify illegitimate non-human users that are accessing content. For example, a method of verifying a non-human user of a computerized device may comprise receiving information identifying a potential non-human user of a computerized device, altering a browser page to be used by the potential non-human user, and verifying whether or not the potential non-human user is an actual non-human user based on a behavior of the potential non-human user with the altered browser page.

Abstract: Improved techniques can be used to identify illegitimate non-human user software that is accessing content. For example, a method of identifying non-human user software of computerized devices may comprise receiving information relating to attributes relevant to the indication of non-human user software activity from a plurality of computerized devices, wherein at least a portion of the computerized devices are known to be infected with at least one non-human user software, and at least a portion of the computerized devices are known not to be infected with a non-human user software, selection as factors a plurality of the attributes based on a correlation of the attribute with the presence of non-human user software activity, computing a score for each factor indicating a likelihood of non-human user software infection for that factor, computing a combined score based on the scores of the individual factors, the combined score indicating a combined likelihood of non-human user software infection.

Abstract: The present invention provides improved techniques that can be used to verify illegitimate non-human users that are accessing content. For example, a method of verifying a non-human user of a computerized device may comprise receiving information identifying a potential non-human user of a computerized device, altering a browser page to be used by the potential non-human user, and verifying whether or not the potential non-human user is an actual non-human user based on a behavior of the potential non-human user with the altered browser page.