The network asset vulnerability assessment technology plays an important role in sorting out Internet assets and realizing the security management of network asset vulnerabilities. The existing methods have the issues such as low accuracy of evaluation results and single function due to the inability to effectively obtain the fingerprinting information of the device. Therefore

this paper proposes a construction method of device fingerprinting search engine for network asset vulnerability assessment

which has the advantages of multiple interfaces

strong interactivity

and reduced network redundancy detection. This paper verifies the efficiency of the method by counting and evaluating server types and HTTPS protocol vulnerabilities in real networks.