PATENT CLAIM ANALYSIS

Application Number: 16266467
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["726", "024000"]

Abstract:
An electronic device will identify an electronic message received by a messaging client that is associated with a first recipient, and it will analyze the electronic message to determine whether the electronic message is a simulated malicious message. Upon determining that electronic message is a simulated malicious message, the device will identify an actuatable element in the electronic message. The actuatable element will include a service address. The device will modify the electronic message by appending a user identifier of the first recipient to the service address of the actuatable element. Then, when the actutable element is actuated, the system may determine whether the first recipient actuated the actuatable element or an alternate recipient did so based on whether the user identifier of the first recipient is still appended (or is the only user identifier appended) to the actuatable element.

Claim (Index 6):
The method of  claim 1 , further comprising, by the cybersecurity analyzer server:\n if the user identifier is associated with the intended recipient, causing a training action of a first type to be delivered to the intended recipient, wherein the first type is a type that is directed to training the intended recipient to avoid falling victim to malicious messages; and if the actuation was by the alternate recipient, causing a training action of a second type to be delivered to the intended recipient, wherein the second type is directed to training the intended recipient to avoid forwarding malicious messages.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 2.51667
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15607071', '15239688', '15878797', '15239668', '15239655']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2930700678117283
- 35 USC 102 Novelty (BERT): 0.5932151788189141
- Combined Prediction Score: 0.3230845789124469
- Mean Citation Score: 327.300186
- Max Citation Score: 520.38544
- Similarity Product: 469.85408057378777

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test