PATENT CLAIM ANALYSIS

Application Number: 16200740
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["726", "022000"]

Abstract:
Detecting unauthorized access to a device is detected in embodiments of the disclosed technology. After downloading a webpage, code is executed in a browser to scan network ports and determine which ports are open. Further webpage content sent from a web server is determined and/or modified in embodiments of the disclosed technology based on which ports are open. In some embodiments, when a particular port or ports are already in use it is determined that a malfeasant actor has access to the end user device and as such, sensitive data or secure data which is intended for a specific user is no longer sent to the end user device.

Claim (Index 1):
A method for a fraud management system to identity fraudulent behavior including instructions sent by a server, said server distributing content via a packet-switched data network which has been encrypted to a client receiving device at a separate network node on said network, said content including code to be executed by said client receiving device which is used to detect fraudulent behavior on said client receiving device and transmits results of said detection to said server via said packet-switched network based on detecting the presence of one of a remote access trojan (RAT) or automated software (BOT).

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 1.75758
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16024887', '11646121', '12103654', '10931262', '15925748']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2405081019559913
- 35 USC 102 Novelty (BERT): 0.4669585780088805
- Combined Prediction Score: 0.2631531495612802
- Mean Citation Score: 125.424046
- Max Citation Score: 137.21501
- Similarity Product: 99.939037245214

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