Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Design and Implementation of Lightweight Web Asset Identification System

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330297,
        author={Zhengde  Li},
        title={Design and Implementation of Lightweight Web Asset Identification System},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={penetration test web asset identification system b/s; node js vue},
        doi={10.4108/eai.6-1-2023.2330297}
    }
    
  • Zhengde Li
    Year: 2023
    Design and Implementation of Lightweight Web Asset Identification System
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330297
Zhengde Li1,*
  • 1: Qufu Normal University
*Contact email: lizd@qfnu.edu.cn

Abstract

This paper mainly describes the purpose of Web asset identification system research and development, design ideas, implementation process and so on. Web asset identification system is very popular in the attack and defense confrontation because the client does not need to rely on the environment, and can detect the target site through a variety of methods. With the Web Asset identification system, task scripts can be executed remotely without the need for real-time client execution. Asset detection can be done online. The Web asset identification system supports active and passive scanning. Web asset identification system is mainly divided into information collection module, target site module, file management module, virtual terminal module, user management module, export test module. Each module of the Web asset identification system has its specific meaning and function, but there are connections and interactions between each module. Web asset recognition system is different from the current mainstream asset recognition system, especially the passive scanning module of the Web asset recognition system adopts the form of crawler to crawl the website, which is not available in other Web asset recognition systems.