PATENT CLAIM ANALYSIS

Application Number: 15892670
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["726", "023000"]

Abstract:
Detecting malicious files is disclosed, including: executing a candidate file; monitoring the execution of the candidate file; generating a monitored action record corresponding to the execution of the candidate file; determining that at least one malicious action included in the monitored action record is included in a preset malicious action set; and determining that the candidate file is a malicious file.

Claim (Index 19):
The computer program product of  claim 11 , further comprising computer instructions for receiving information associated with executing the candidate file; and wherein\n the generating of the monitored action record based at least in part on monitoring the execution of the candidate file comprises: executing the candidate file by at least two virtual machines based at least in part on the information associated with executing the candidate file, wherein each virtual machine corresponds to the candidate file; and invoking one or more functions in a preset dynamic link library (DLL) during the execution of the candidate file to monitor the execution of the candidate file and generate the monitored action record corresponding to the execution of the candidate file.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.0
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15149938', '15431162', '12402861', '14805408', '11931563']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2522063175950654
- 35 USC 102 Novelty (BERT): 0.5016869378581439
- Combined Prediction Score: 0.2771543796213732
- Mean Citation Score: 171.537376
- Max Citation Score: 308.04056
- Similarity Product: 300.6565132133628

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