Abstract: The present invention provides improved techniques that can be used to identify hidden content and/or advertisements on a digital display page and to tell the illegitimate pieces of hidden content apart from legitimate ones, which provide reduced levels of false results. For example, a technique involves performing a plurality of analyses on a digital display page to determine whether the digital display page includes content is hidden, wherein each analysis may determine a different result based on whether content in the digital display page is delivered but hidden, comparing the resulting determinations of the analyses, when the analyses all determine that the content is not hidden, classifying the digital display page as not including hidden content, and when at least one analysis determines that the content is not hidden and at least one analysis determines that the content is hidden, classifying the digital display page as including hidden content.

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 identify hidden content and/or advertisements on a digital display page and to tell the illegitimate pieces of hidden content apart from legitimate ones, which provide reduced levels of false results. For example, a technique involves performing a plurality of analyses on a digital display page to determine whether the digital display page includes content is hidden, wherein each analysis may determine a different result based on whether content in the digital display page is delivered but hidden, comparing the resulting determinations of the analyses, when the analyses all determine that the content is not hidden, classifying the digital display page as not including hidden content, and when at least one analysis determines that the content is not hidden and at least one analysis determines that the content is hidden, classifying the digital display page as including hidden content.

Abstract: The present invention provides improved techniques for identifying online advertisement laundering and online advertisement injection that may occur during the serving of advertisements to browsers. For example, in one embodiment, a method of identifying fraudulent advertising activities may comprise obtaining information identifying a computer system of every party involved in supplying an advertisement to an end user device, determining whether a computer system of a first party and a computer system of a second party provide websites and are not intermediary computer systems, determining whether the computer system of the first party provides a website of a type undesirable to advertisers, determining whether the computer system of the second party has usage and traffic characteristics indicative of not being an intermediary computer system, and determining a frequency of recurrence of the determined conditions.

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.