With the continuous increase in the scale and complexity of the current network environment, many challenges faced by network security issues have gradually become prominent. How to accurately identify the vulnerable nodes in a complex network is a crucial topic for ensuring the security and stable operation of the entire network. This paper proposes a calculation scheme for the vulnerability of nodes in a complex network based on dynamic trust evaluation, and provides suggestions for the maintenance of complex networks according to this scheme. This scheme first dynamically evaluates the trust relationships between network nodes. Then, by considering factors such as the behavioral and identity characteristics of nodes, historical interaction information, and credit records, a comprehensive dynamic trust evaluation model is constructed. On this basis, vulnerability indicators for network nodes can be formulated to quantitatively calculate the vulnerability degree of all nodes in the network. Finally, an example is used to prove that this method can effectively identify the vulnerable nodes in the network. Compared with the traditional qualitative analysis method, it can analyze the characteristics of complex networks more quickly, accurately, and quantitatively, providing strong support for topics related to network security.