公开(公告)号：US20180013772A1

公开(公告)日：2018-01-11

申请号：US15202247

申请日：2016-07-05

Applicant: Webroot Inc.

Inventor： Mauritius Schmidtler ,  Reza M. Yoosoofmiya ,  Kristina Theroux

IPC: H04L29/06 ,  H04L29/08

CPC classification number: H04L63/1416 ,  G06F21/56 ,  G06F21/564 ,  H04L63/1408 ,  H04L63/1425 ,  H04L63/145 ,  H04L67/06

Abstract: Examples of the present disclosure describe systems and methods of automatic inline detection based on static data. In aspects, a file being received by a recipient device may be analyzed using an inline parser. The inline parser may identify sections of the file and feature vectors may be created for the identified sections. The feature vectors may be used to calculate a score corresponding to the malicious status of the file as the information is being analyzed. If a score is determined to exceed a predetermined threshold, the file download process may be terminated. In aspects, the received files, file fragments, feature vectors and/or additional data may be collected and analyzed to build a probabilistic model used to identify potentially malicious files.

公开(公告)号：US20210194900A1

公开(公告)日：2021-06-24

申请号：US17191350

申请日：2021-03-03

Applicant: Webroot Inc.

Inventor： Mauritius Schmidtler ,  Reza M. Yoosoofmiya ,  Kristina Theroux

IPC: H04L29/06 ,  G06F21/56 ,  H04L29/08

Abstract: Examples of the present disclosure describe systems and methods of automatic inline detection based on static data. In aspects, a file being received by a recipient device may be analyzed using an inline parser. The inline parser may identify sections of the file and feature vectors may be created for the identified sections. The feature vectors may be used to calculate a score corresponding to the malicious status of the file as the information is being analyzed. If a score is determined to exceed a predetermined threshold, the file download process may be terminated. In aspects, the received files, file fragments, feature vectors and/or additional data may be collected and analyzed to build a probabilistic model used to identify potentially malicious files.

公开(公告)号：US10972482B2

公开(公告)日：2021-04-06

申请号：US15202247

申请日：2016-07-05

Applicant: Webroot Inc.

Inventor： Mauritius Schmidtler ,  Reza M. Yoosoofmiya ,  Kristina Theroux

IPC: H04L29/06 ,  G06F21/56 ,  H04L29/08

Abstract: Examples of the present disclosure describe systems and methods of automatic inline detection based on static data. In aspects, a file being received by a recipient device may be analyzed using an inline parser. The inline parser may identify sections of the file and feature vectors may be created for the identified sections. The feature vectors may be used to calculate a score corresponding to the malicious status of the file as the information is being analyzed. If a score is determined to exceed a predetermined threshold, the file download process may be terminated. In aspects, the received files, file fragments, feature vectors and/or additional data may be collected and analyzed to build a probabilistic model used to identify potentially malicious files.