Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test. In some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.

Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test. In some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.

Abstract: Systems and methods for matching and scoring sameness. In some embodiments, a computer-implemented method is provided, comprising acts of: identifying a plurality of first-degree anchor values from the first digital interaction, wherein the plurality of first-degree anchor values comprise first-degree anchor values X and Y; accessing a profile of the first-degree anchor value X, wherein: the profile of the first-degree anchor value X comprises a plurality of sets of second-degree anchor values; and each set of the plurality of sets of second-degree anchor values corresponds to a respective anchor type and comprises one or more second-degree anchor values of that anchor type; determining how closely the first-degree anchor values X and Y are associated; and generating an association score indicative of how closely the plurality of first-degree anchors are associated, based at least in part on how closely the first-degree anchor values X and Y are associated.

Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test, in some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.

Abstract: Systems and methods for detecting and scoring anomalies. In some embodiments, a method is provided, comprising acts of: (A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based as least in part on a result of the act (D).

Abstract: Techniques for ascertaining legitimacy of communications received during a digital interaction with a client device. The techniques include: receiving a communication; identifying from the communication a first secured token; processing the first secured token by: obtaining, from the first secured token, information indicating a state of the digital interaction; and using the information indicating the state to determine whether the communication is from the client device; and when it is determined that the communication is from the client device, causing at least one action responsive to the communication to be performed; updating the information indicating the state of the digital interaction to obtain updated information indicating the state of the digital interaction; and providing a second secured token to the client device for use in a subsequent communication during the digital interaction, the second secured token comprising the updated information indicating the state of the digital interaction.

Abstract: Techniques for ascertaining legitimacy of communications received during a digital interaction with a client device. The techniques include: receiving a communication; identifying from the communication a first secured token; processing the first secured token by: obtaining, from the first secured token, information indicating a state of the digital interaction; and using the information indicating the state to determine whether the communication is from the client device; and when it is determined that the communication is from the client device, causing at least one action responsive to the communication to be performed; updating the information indicating the state of the digital interaction to obtain updated information indicating the state of the digital interaction; and providing a second secured token to the client device for use in a subsequent communication during the digital interaction, the second secured token comprising the updated information indicating the state of the digital interaction.

Abstract: Techniques for ascertaining legitimacy of communications received during a digital interaction with a client device. The techniques include: receiving a communication; identifying from the communication a first secured token; processing the first secured token by: obtaining, from the first secured token, information indicating a state of the digital interaction; and using the information indicating the state to determine whether the communication is from the client device; and when it is determined that the communication is from the client device, causing at least one action responsive to the communication to be performed; updating the information indicating the state of the digital interaction to obtain updated information indicating the state of the digital interaction; and providing a second secured token to the client device for use in a subsequent communication during the digital interaction, the second secured token comprising the updated information indicating the state of the digital interaction.

Abstract: Techniques for ascertaining legitimacy of communications received during a digital interaction with a client device. The techniques include: receiving a communication; identifying from the communication a first secured token; processing the first secured token by: obtaining, from the first secured token, information indicating a state of the digital interaction; and using the information indicating the state to determine whether the communication is from the client device; and when it is determined that the communication is from the client device, causing at least one action responsive to the communication to be performed; updating the information indicating the state of the digital interaction to obtain updated information indicating the state of the digital interaction; and providing a second secured token to the client device for use in a subsequent communication during the digital interaction, the second secured token comprising the updated information indicating the state of the digital interaction.

Abstract: Systems and methods for detecting and scoring anomalies. In some embodiments, a method is provided, comprising acts of: (A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based as least in part on a result of the act (D).

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating a shuffled image that encodes a challenge text, the generating comprising: generating an initial image encoding the challenge text; dividing the initial image into image portions; and generating the shuffled image as a shuffled arrangement of the image portions; generating decoding information for revealing the challenge text encoded in the shuffled image; transmitting the shuffled image and the decoding information to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: Techniques for detecting application program spoofing. The techniques include: receiving a communication from an application program executing on a client device different from the at least one computer; identifying from the communication an asserted identity of the application program; and verifying the asserted identity of the application program at least in part by: interacting with the client device to obtain additional information about the application program, and determining whether the additional information about the application program is consistent with the asserted identity of the application program.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating a shuffled image that encodes a challenge text, the generating comprising: generating an initial image encoding the challenge text; dividing the initial image into image portions; and generating the shuffled image as a shuffled arrangement of the image portions; generating decoding information for revealing the challenge text encoded in the shuffled image; transmitting the shuffled image and the decoding information to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: Systems and methods for detecting and scoring anomalies. In some embodiments, a method is provided, comprising acts of: (A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based as least in part on a result of the act (D).

Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test, in some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; transmitting software code and location information to the device, wherein the location information specifies a plurality of locations encoding a visual representation of a challenge text, and wherein the software code, when executed by an Internet browser, causes a plurality of graphical elements to be displayed at the plurality of locations in a webpage so that the webpage displays the challenge text; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: A technique for distinguishing between a human user and a software robot. The technique includes: receiving a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating an image that encodes a challenge text, the image comprising data stored in a plurality of channels including a transparency channel, the generating comprising: generating decoding information representing the challenge text; and storing the decoding information in the transparency channel of the image; transmitting, via the at least one network, the generated image to the device; receiving a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text.

Abstract: Techniques for detecting device type spoofing. The techniques include: receiving a communication from a client device different from the at least one computer; identifying from the communication an asserted type of the client device; and verifying the asserted type of the client device at least in part by: interacting with the client device to obtain additional information about the client device, and determining whether the additional information about the client device is consistent with the asserted type of the client device.

Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test, in some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.

Abstract: Systems and methods for providing identification tests. In some embodiments, a system and a method are provided for generating and serving to a user an animated challenge graphic comprising a challenge character set whose appearance may change over time. In some embodiments, marketing content may be incorporated into a challenge message for use in an identification test. The marketing content may be accompanied by randomly selected content to increase a level of security of the identification test. In some embodiments, a challenge message for use in an identification test may be provided based on information regarding a transaction for which the identification test is administered. For example, the transaction information may include a user identifier such as an IP address. In some embodiments, identification test results may be tracked and analyzed to identify a pattern of behavior associated with a user identifier. A score indicative of a level of trustworthiness may be computed for the user identifier.