System to identify vulnerable card readers
Example embodiments relate to a network-based vulnerability detection system configured to access a database of customer transaction data corresponding to a set of card readers that includes transaction codes, receive an identification of a set of compromised card readers among the set of card readers, identify common transaction codes within the transaction data of the set of compromised card readers, and correlate the common transaction codes to one or more instances of fraud associated with the compromised set of card readers. In some example embodiments, the vulnerability detection system may be applied to monitor one or more card readers, receive transaction data corresponding to transaction conducted through the card readers, identify the common transaction codes correlated to the instances of fraud, and cause display of a notification that includes an indication of the instance of fraud at a client device.
1. A method comprising:
receiving transaction data from a first device among a set of devices, the transaction data including a set of transaction codes and a first device identifier that identifies the first device among the set of devices;
accessing a transaction database that comprises historical transaction data associated with the set of devices, the historical transaction data including a correlation between a transaction code among the historical transaction data and an instance of fraud;
identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device; and
disabling the first device among the set of devices in response to the identifying the transaction code correlated with the instance of fraud.
2. The method of claim 1 , wherein the method further comprises:
receiving the historical transaction data from the set of devices;
receiving an identification of the instance of fraud among the historical transaction data, the identification identifying the transaction code; and
generating the correlation between the transaction code and the instance of fraud.
3. The method of claim 2 , wherein the historical transaction data comprises a set of timestamps that indicate a time of a transaction, and wherein the receiving the identification of the instance of fraud among the historical transaction data includes:
receiving an identification of a time period correlated with the instance of fraud;
identifying a subset of the historical transaction data based on the time period and the set of timestamps; and
correlating the subset of the historical transaction data with the instance of fraud.
4. The method of claim 1 , wherein the method further comprises:
causing display of a notification at a client device in response to the identifying the transaction code correlated with the instance of fraud, the notification including an identification of the first device.
5. The method of claim 1 , wherein the transaction data includes a user identifier, and the method further comprises:
transmitting a notification to a user account associated with the user identifier in response to the identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device.
6. The method of claim 1 , wherein the method further comprises:
calculating a vulnerability score of the first device based on at least the transaction code; and
assigning the vulnerability score to the first device within a database.
7. The method of claim 1 , wherein the transaction codes indicate a status of a transaction, and wherein the status includes at least one of:
an incomplete transaction;
a complete transaction; and
a declined transaction.
8. A system comprising:
one or more processors of a machine; and
a memory storing instructions that, when executed by at least one processor among the one or more processors, causes the machine to perform operations comprising:
receiving transaction data from a first device among a set of devices, the transaction data including a set of transaction codes and a first device identifier that identifies the first device among the set of devices;
accessing a transaction database that comprises historical transaction data associated with the set of devices, the historical transaction data including a correlation between a transaction code among the historical transaction data and an instance of fraud;
identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device; and
disabling the first device among the set of devices in response to the identifying the transaction code correlated with the instance of fraud.
9. The system of claim 8 , wherein the instructions cause the machine to perform operations further comprising:
receiving the historical transaction data from the set of devices;
receiving an identification of the instance of fraud among the historical transaction data, the identification identifying the transaction code; and
generating the correlation between the transaction code and the instance of fraud.
10. The system of claim 9 , wherein the historical transaction data comprises a set of timestamps that indicate a time of a transaction, and wherein the receiving the identification of the instance of fraud among the historical transaction data includes:
receiving an identification of a time period correlated with the instance of fraud;
identifying a subset of the historical transaction data based on the time period and the set of timestamps; and
correlating the subset of the historical transaction data with the instance of fraud.
11. The system of claim 8 , wherein the instructions cause the machine to perform operations further comprising:
causing display of a notification at a client device in response to the identifying the transaction code correlated with the instance of fraud, the notification including an identification of the first device.
12. The system of claim 8 , wherein the transaction data includes a user identifier, and the instructions cause the system to perform operations further comprising:
transmitting a notification to a user account associated with the user identifier in response to the identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device.
13. The system of claim 8 , wherein the instructions cause the system to perform operations further comprising:
calculating a vulnerability score of the first device based on at least the transaction code; and
assigning the vulnerability score to the first device within a database.
14. The system of claim 8 , wherein the transaction codes indicate a status of a transaction, and wherein the status includes at least one of:
an incomplete transaction;
a complete transaction; and
a declined transaction.
15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
receiving transaction data from a first device among a set of devices, the transaction data including a set of transaction codes and a first device identifier that identifies the first device among the set of devices;
accessing a transaction database that comprises historical transaction data associated with the set of devices, the historical transaction data including a correlation between a transaction code among the historical transaction data and an instance of fraud;
identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device; and
disabling the first device among the set of devices in response to the identifying the transaction code correlated with the instance of fraud.
16. The non-transitory machine-readable storage medium of claim 15 , wherein the instructions cause the machine to perform operations further comprising:
receiving the historical transaction data from the set of devices;
receiving an identification of the instance of fraud among the historical transaction data, the identification identifying the transaction code; and
generating the correlation between the transaction code and the instance of fraud.
17. The non-transitory machine-readable storage medium of claim 16 , wherein the historical transaction data comprises a set of timestamps that indicate a time of a transaction, and wherein the receiving the identification of the instance of fraud among the historical transaction data includes:
receiving an identification of a time period correlated with the instance of fraud;
identifying a subset of the historical transaction data based on the time period and the set of timestamps; and
correlating the subset of the historical transaction data with the instance of fraud.
18. The non-transitory machine-readable storage medium of claim 15 , wherein the instructions cause the machine to perform operations further comprising:
causing display of a notification at a client device in response to the identifying the transaction code correlated with the instance of fraud, the notification including an identification of the first device.
19. The non-transitory machine-readable storage medium of claim 15 , wherein the transaction data includes a user identifier, and the instructions cause the system to perform operations further comprising:
transmitting a notification to a user account associated with the user identifier in response to the identifying the transaction code correlated with the instance of fraud among the set of transaction codes from the first device.
20. The non-transitory machine-readable storage medium of claim 15 , wherein the instructions cause the system to perform operations further comprising:
calculating a vulnerability score of the first device based on at least the transaction code; and
assigning the vulnerability score to the first device within a database.