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.

Date of Patent:
Sep. 17, 2024

Filed:

Feb. 07, 2024
Applicant:

Hainan University, Haikou, CN;

Inventors:

Xiaoqi Li, Haikou, CN;

Wenkai Li, Haikou, CN;

Zekai Liu, Haikou, CN;

Hailu Kuang, Haikou, CN;

Assignee:

HAINAN UNIVERSITY, Haikou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 21/64 (2013.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 21/64 (2013.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01); G06F 2221/034 (2013.01);
Abstract

Disclosed are a vulnerability detection method and device for a smart contract, and a storage medium. The method includes the following steps: constructing a control flowchart for the smart contract and collecting opcodes, operands, and opcodes in a static single assignment (SSA) form based on a call flow thereof; crawling application binary interfaces in a blockchain browser based on an address of the smart contract; using the opcodes and the operands as an input, and outputting function parameters; monitoring whether there are specified actions in functions to determine function attributes; and fusing the opcodes in the SSA form and the application binary interfaces or a concatenation form of the function parameters and the function attributes by an encoder, and obtaining existent vulnerability types by a decoder. With the technical solution of the present disclosure, semantic and function interface information in bytecodes is effectively used, and multi-label vulnerability detection is implemented.


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