PATENT CLAIM ANALYSIS

Application Number: 15756557
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["726", "023000"]

Abstract:
This document generally relates to systems, method, and other techniques for identifying and interfering with the operation of computer malware, as a mechanism for improving system security. Some implementations include a computer-implemented method by which a computer security server system performs actions including receiving a request for content directed to a particular content server system; forwarding the request to the particular content server system; receiving executable code from the particular content server system; inserting executable injection code into at least one file of the executable code; applying a security countermeasure to the combined executable code and executable injection code to create transformed code; and providing the transformed code to a client computing device.

Claim (Index 8):
The method of  claim 7 , further comprising intermingling the executable injection code into the executable code at locations in the executable content at locations that change for each of multiple different servings in response to requests for the content, so as to interfere with malware on the client device that attempts to interact with the content, the executable code, or both.

Metadata:
- Claim Count in Document: 57.0
- Percentile: 88.0
- Lexical Diversity: 1.95238
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14841013', '14503346', '14570632', '14713493', '14470082']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2599590217913993
- 35 USC 102 Novelty (BERT): 0.5407380563791251
- Combined Prediction Score: 0.2880369252501719
- Mean Citation Score: 263.700782
- Max Citation Score: 396.44543
- Similarity Product: 327.4910898373068

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