Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: A method includes receiving a plurality of trusted assets, generating a first signature set for a known software application, and generating a second signature set for a subject software application. Each trusted asset is associated with at least a threshold number of trusted authors. Each signature in the first signature set corresponds to a known asset that is associated with the known software application. Each signature in the second signature set corresponds to a subject asset that is associated with the subject software application. The method further includes generating first and second filtered signature set based on the first and second signature sets, respectively, by excluding signatures corresponding to the trusted assets. The method also includes generating a similarity rating for the subject application based on a comparison of the first filtered signature set and the second filtered signature set.

Abstract: Systems, methods, routines and/or techniques are described to protect users from undesirable content, for example, on an open platform. One or more embodiments may prevent the installation of an application package or warn a user if the application package may be undesirable (e.g., because it may contain malware). In one or more embodiments, a method may include receiving a first request to install an application package, and receiving and/or capturing metadata related to the application package. The method may include communicating a second request (e.g., including the metadata) to a remote server, such that the remote server can determine whether the application package may be undesirable. The method may include receiving a response from the remote server, where the response may indicate whether the application package may be undesirable, and initiating installation of the application package if the application package is determined to be safe and/or acceptable.

Abstract: A method includes receiving a plurality of trusted assets, generating a first signature set for a known software application, and generating a second signature set for a subject software application. Each trusted asset is associated with at least a threshold number of trusted authors. Each signature in the first signature set corresponds to a known asset that is associated with the known software application. Each signature in the second signature set corresponds to a subject asset that is associated with the subject software application. The method further includes generating first and second filtered signature set based on the first and second signature sets, respectively, by excluding signatures corresponding to the trusted assets. The method also includes generating a similarity rating for the subject application based on a comparison of the first filtered signature set and the second filtered signature set.

Abstract: A system, method, and computer program product for identifying a worm are disclosed. The system, method, and computer product are configured to generate a signature for a computer worm by identifying a set of bits representing the signature, generate a first worm signature based on the signature, and generate a second worm signature based on the signature. The first worm signature is formatted for a first device and the second worm signature is formatted for a second, different device. The first worm signature and the second worm signature are different.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: A system, method and computer program product for exploit-based worm detection and mitigation are disclosed. The system, method, and computer program product are configured to identify a signature representing content prevalent in network traffic, determine if the traffic including the signature exhibits propagation, determine if the traffic including the signature exhibits connectedness, and generate a worm signature based on the signature if the signature exhibits both connectedness and propagation.

Abstract: Landing pages associated with advertisements are partitioned into training landing pages and testing landing pages. Iterative training and testing of a classification mode on intrusion features of the partitioned landing pages is conducted until the occurrence of a cessation event. Feature weights are derived from the iterative training and testing, and are associated with the intrusion features. The associated feature weights and intrusion features can be used to classify other landing pages.

Abstract: Intrusion features of a landing page associated with sponsored content are identified. A feature score for the landing page based on the identified intrusion features is generated, and if the feature score for the landing page exceeds a feature threshold, the landing page is classified as a candidate landing page. A sponsor account associated with the candidate landing page can be suspended, or sponsored content associated with the candidate landing page can be suspended.

Abstract: Landing pages associated with advertisements are partitioned into training landing pages and testing landing pages. Iterative training and testing of a classification mode on intrusion features of the partitioned landing pages is conducted until the occurrence of a cessation event. Feature weights are derived from the iterative training and testing, and are associated with the intrusion features. The associated feature weights and intrusion features can be used to classify other landing pages.

Abstract: A system, method and computer program product for exploit-based worm detection and mitigation are disclosed. The system, method, and computer program product are configured to identify a signature representing content prevalent in network traffic, determine if the traffic including the signature exhibits propagation, determine if the traffic including the signature exhibits connectedness, and generate a worm signature based on the signature if the signature exhibits both connectedness and propagation.

Abstract: A system, method and computer program product for email-based worm detection and mitigation are disclosed. The system, method, and computer program product are configured to identify a signature representing content prevalent in email-based network traffic, generate a client list for the identified signature, determine if a number of clients included in the client list exceeds a threshold, and generate a worm signature based on the signature if the number of clients included in the client list exceeds the threshold.

Abstract: A system, method, and computer program product for identifying a worm are disclosed. The system, method, and computer product are configured to generate a signature for a computer worm by identifying a set of bits representing the signature, generate a first worm signature based on the signature, and generate a second worm signature based on the signature. The first worm signature is formatted for a first device and the second worm signature is formatted for a second, different device. The first worm signature and the second worm signature are different.