Paypal, Inc.

Ido Kantor

Zahid Nasiruddin Shaikh

Yuval Arie Bercovich

Maayan Liat Zohar

Elad Bichman

A computer system receives a first information detailing a TLS fingerprint. A computer system determines an amount of bad transactions associated with the TLS fingerprint, wherein a bad transaction is a transaction involved in one or more fraudulent activities. The computer system determines whether the amount of bad transactions associated with the TLS fingerprint exceeds a threshold amount.

Utilizing transport layer security (TLS) fingerprints to determine agents and operating systems

A computer system receives, from a first set of computing devices, a first information. The computer system creates a model based on the first information, wherein the model correlates one or more TLS fingerprints to one or more agents. The computer system receives a second information, wherein the second information includes a TLS fingerprint. The computer system determines a predicted operating system based on comparing the TLS fingerprint to the model.

A computer system receives, from a first set of computing devices, a first information. The computer system creates a model based on the first information, wherein the model correlates one or more TLS fingerprints to one or more agents. The computer system receives a second information, wherein the second information includes a TLS fingerprint and a declared agent. The computer system determines a predicted agent based on comparing the TLS fingerprint included in the second information to the model. The computer system determines whether the predicted agent matches the declared agent included in the second information.

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Gevat, Israel

Ido Kantor