The traditional vulnerability mining methods for information systems require prior knowledge of protocol specifications, which often necessitates developers to invest significant time in learning and comprehending the protocol format for effective development of vulnerability mining test cases. However, in the power industry, industrial control equipment utilizes a multitude of private protocols with undisclosed specifications (unknown protocols). Consequently, the conventional vulnerability mining technology based on prior knowledge cannot be directly applied to these unknown industrial control protocols. To address this issue, this paper proposes a method and system of fuzzy testing for industrial control equipment based on genetic algorithms. The objective is to resolve challenges such as prolonged development periods, inability to test unknown protocols, and low efficiency in conducting vulnerability mining tests on unknown protocol vulnerabilities within industrial control equipment.