Abstract: A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Abstract: A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Abstract: Apparatuses, methods, and systems are provided for making continuous vulnerability management for modern applications. A dependency tree can be created mapping third-party libraries to microservices used in an application of a software package. Natural language processing can be used on release notes and changelogs of new library versions to generate a list of libraries afflicted with common vulnerabilities and exposures (“CVEs”). A number of code calls from an application program interface (“API”) can be made to an afflicted library. A number of code calls including CVEs can be enumerated for each afflicted library. A risk score can be assigned to the API based on the number of code calls including CVEs. The risk score can be compared against a threshold value to cause a remedial action to occur, including updating libraries to newer versions to resolve CVE issues or generating a report regarding the afflicted libraries.

Abstract: A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A processor-implemented method for improving computer identification comprising transmitting a browser fingerprinting test to one or more computing devices and receiving test data from the one more computing devices that includes at least an elapsed processing time and a hash code. The method includes determining an average elapsed processing time and determining a uniqueness level for the browser fingerprinting test by comparing the hash codes for each computing device with one another.

Abstract: A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Abstract: Apparatuses, methods, and systems are provided for making continuous vulnerability management for modern applications. A dependency tree can be created mapping third-party libraries to microservices used in an application of a software package. Natural language processing can be used on release notes and changelogs of new library versions to generate a list of libraries afflicted with common vulnerabilities and exposures (“CVEs”). A number of code calls from an application program interface (“API”) can be made to an afflicted library. A number of code calls including CVEs can be enumerated for each afflicted library. A risk score can be assigned to the API based on the number of code calls including CVEs. The risk score can be compared against a threshold value to cause a remedial action to occur, including updating libraries to newer versions to resolve CVE issues or generating a report regarding the afflicted libraries.