The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 17, 2026
Filed:
Nov. 21, 2022
Hangzhou Evergreen Information Technology Co., Ltd., Hangzhou, CN;
Meng Han, Hangzhou, CN;
Changting Lin, Hangzhou, CN;
Peng Duan, Hangzhou, CN;
Melody Xiaoyun Shan, Hangzhou, CN;
Lei Zhang, Hangzhou, CN;
Qiang Gong, Hangzhou, CN;
Binbin Zhao, Hangzhou, CN;
Haitao Xu, Hangzhou, CN;
Jiacheng Xu, Hangzhou, CN;
Bin Wang, Hangzhou, CN;
Weiping Yu, Hangzhou, CN;
HANGZHOU EVERGREEN INFORMATION TECHNOLOGY CO., LTD., Hangzhou, CN;
Abstract
The invention discloses a cross-architecture automated detection method and system for third-party components and security risks, comprising: identify and reverse the firmware of the IoT device, classify the resulting reverse products into binary and non-binary files; disassemble binary files to mine the semantic information in them; convert non-binary files into string text files; build a database containing third-party components and their known CVE; combine pattern matching to scan string text files automatically, collect third-party components in the firmware of IoT device, and collect and retrieve vulnerabilities of corresponding third-party components. Through organically combining the semantic information of the vulnerability assembly code and the semantic information of the firmware assembly code of IoT device, the similarity comparison across architectures and deep learning is realized, and the specific pattern vulnerability is mined and verified automatically. The invention does not require the acquisition of firmware source code, the detection process is automated, greatly reducing the difficulty and workload of manual analysis.