The invention discloses a method for assisting in kernel vulnerability mining based on automatic identification of driver parameters. The method is implemented by the following steps of (1) obtaining assembly codes and C pseudo-codes of driver files; (2) extracting key feature constants in the assembly codes; (3) extracting key feature constants in the C pseudo-codes; (4) performing validity screening on two groups of the feature constants of the assembly codes and the C pseudo-codes; (5) obtaining and outputting valid driver function numbers of drivers; and (6) inputting the valid driver function numbers to a Windows driver vulnerability mining tool. The method has the advantages of good universality, complete identification coverage, high accuracy, high efficiency, full automation, simplicity and usability. The method can be used in Windows kernel driver vulnerability mining; and the driver function numbers can be automatically identified.