Collaborative phishing attack detection
Described herein are methods, network devices and machine-readable storage media for detecting whether a message is a phishing attack based on the collective responses from one or more individuals who have received that message. The individuals may flag the message as a possible phishing attack, and/or may provide a numerical ranking indicating the likelihood that the message is a possible phishing attack. As responses from different individuals may have a different degree of reliability, each response from an individual may be weighted with a corresponding trustworthiness level of that individual, in an overall determination as to whether a message is a phishing attack. A trustworthiness level of an individual may indicate a degree to which the response of that individual can be trusted and/or relied upon, and may be determined by how well that individual recognized simulated phishing attacks.
1. A method, comprising:
generating, by a network device, a simulated phishing message, the message comprising a predetermined identifier in the message or in metadata of the message;
electronically storing, by the network device, the predetermined identifier in a computerized data store;
receiving, by the network device from a computing device associated with an individual, a notification triggered by a user action by the individual that a message delivered in an account associated with the individual has been identified by the individual as a possible phishing attack;
determining, by the network device, whether the identified message is a known simulated phishing attack by comparing the predetermined identifier to an identifier from the body of the message or to the metadata of the message;
if the message is identified by the individual as a simulated phishing attack, recording in a database that the individual has correctly identified the message as a possible phishing attack;
if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, determining, at the network device, whether the identified message may be a threat based on at least whether the individual has correctly identified a previous message as a possible phishing attack;
processing, by the network device, the message based on the determination of whether the identified message may be a threat.
2. The method of claim 1 , wherein processing the message based on a trustworthiness level of the individual further comprises forwarding the message to a computer security technician for analysis to determine if the message is a real phishing attack or not.
3. The method of claim 1 , wherein a trustworthiness level of the individual is based on a rating assigned to the individual within a social network of the individual.
4. The method of claim 1 , wherein if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, classifying or not classifying the message as a real phishing attack based on a trustworthiness level the individual.
5. The method of claim 4 , wherein if the trustworthiness level of the individual exceeds a threshold, classifying the message as a real phishing attack, otherwise, not classifying the message as a real phishing attack.
6. The method of claim 1 , further comprising calculating a numerical value indicative of a likelihood the message is a real phishing attack based on a trustworthiness level of the individual.
7. The method of claim 1 , further comprising:
calculating an average of trustworthiness level of multiple individuals who have triggered a notification of the message; and
comparing the average with a threshold to classify or not classify the message as a real phishing attack.
8. The method of claim 1 , wherein a trustworthiness level of the individual is based on one or more of a percentage of simulated phishing attacks that the individual correctly identified as a possible phishing attack, a percentage of simulated phishing attacks that the individual ignored, and a percentage of simulated phishing attacks that the individual fell victim to.
9. The method of claim 1 , wherein a trustworthiness level of the individual is based on a sophistication level of a simulated phishing attack received by the individual.
10. The method of claim 9 , wherein the individual correctly identifying a more sophisticated simulated phishing attack results in a higher trustworthiness level for the individual, as compared to the individual correctly identifying a less sophisticated simulated phishing attack.
11. A system comprising:
a processor;
a storage device connected to the processor;
a network server device; and
a set of instructions on the storage device that, when executed by the processor, cause the processor perform the steps of:
generating, by the processor, a simulated phishing message, the message comprising a predetermined identifier in the message or in metadata of the message;
electronically storing, on the storage device, the predetermined identifier in a computerized data store;
receiving, by the processor from a computing device associated with an individual, a notification triggered by a user action by the individual that a message delivered in an account associated with the individual has been identified by the individual as a possible phishing attack;
determining, by the processor, whether the identified message is a known simulated phishing attack by comparing the predetermined identifier to an identifier from the body of the message or to the metadata of the message;
if the message is identified by the individual as a simulated phishing attack, recording in a database that the individual has correctly identified the message as a possible phishing attack;
if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, determining, at the processor, whether the identified message may be a threat based on at least whether the individual has correctly identified a previous message as a possible phishing attack; and
processing, by the processor, the message based on the determination of whether the identified message may be a threat.
12. The system of claim 11 , wherein if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, classifying or not classifying the message as a real phishing attack based on a trustworthiness level the individual.
13. The system of claim 11 , wherein if the trustworthiness level of the individual exceeds a threshold, classifying the message as a real phishing attack, otherwise, not classifying the message as a real phishing attack.
14. The system of claim 11 , further comprising calculating a numerical value indicative of a likelihood the message is a real phishing attack based on the trustworthiness level of the individual.
15. A non-transitory computer-readable recording medium storing a simulated phishing message administration computer program, the simulated phishing message administration computer program causing a processor to perform steps comprising:
generating, by a network device, a simulated phishing message, the message comprising a predetermined identifier in the message or in metadata of the message;
electronically storing, by the network device, the predetermined identifier in a computerized data store;
receiving, by the network device from a computing device associated with an individual, a notification triggered by a user action by the individual that a message delivered in an account associated with the individual has been identified by the individual as a possible phishing attack;
determining, by the network device, whether the identified message is a known simulated phishing attack by comparing the predetermined identifier to an identifier from the body of the message or to the metadata of the message;
if the message is identified by the individual as a simulated phishing attack, recording in a database that the individual has correctly identified the message as a possible phishing attack;
if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, determining, at the network device, whether the identified message may be a threat based on at least whether the individual has correctly identified a previous message as a possible phishing attack; and
processing, by the network device, the message based on the determination of whether the identified message may be a threat.
16. The non-transitory computer-readable recording medium of claim 15 , wherein if the message is determined not to be a known simulated phishing attack based on the comparison of the identifier, classifying or not classifying the message as a real phishing attack based on a trustworthiness level the individual.
17. The non-transitory computer-readable recording medium of claim 15 , wherein if a trustworthiness level of the individual exceeds a threshold, classifying the message as a real phishing attack, otherwise, not classifying the message as a real phishing attack.
18. The non-transitory computer-readable recording medium of claim 15 , further comprising calculating a numerical value indicative of a likelihood the message is a real phishing attack based on a trustworthiness level of the individual.
19. The non-transitory computer-readable recording medium of claim 15 , further comprising:
calculating an average of trustworthiness level of multiple individuals who have triggered a notification of the message; and
comparing the average with a threshold to classify or not classify the message as a real phishing attack.
20. The non-transitory computer-readable recording medium of claim 15 , wherein a trustworthiness level of the individual is based on one or more of a percentage of simulated phishing attacks that the individual correctly identified as a possible phishing attack, a percentage of simulated phishing attacks that the individual ignored, and a percentage of simulated phishing attacks that the individual fell victim to.