PATENT CLAIM ANALYSIS

Application Number: 16148241
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["726", "023000"]

Abstract:
A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Claim (Index 20):
The filtering system of  claim 13 , wherein the computer executable instructions further cause the one or more hardware computer processors to:\n parse the respective locational reference associated with a certain connection record in the connection records for a domain name; access a list of words associated with malicious locational references; transmit, to an Internet search engine providing an autocomplete function that automatically displays words to complete a query entered into the Internet search engine, a first query comprising the domain name; receive, from the Internet search engine, the words displayed in response to the first query; and determine that at least one of the words is in a list of words associated with malicious locational references.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.80519
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15378567', '14698432', '14616080', '14473920', '14139713']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2990487512718919
- 35 USC 102 Novelty (BERT): 0.6001291829490064
- Combined Prediction Score: 0.3291567944396033
- Mean Citation Score: 397.559128
- Max Citation Score: 556.2524400000002
- Similarity Product: 476.0997731366373

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

Dataset: test