Vulnerability detection method and device, equipment and storage medium

The invention provides a vulnerability detection method and device, equipment and a storage medium. The method comprises the steps that after a to-be-detected field returned by a target application is received, feature extraction is conducted on the to-be-detected field, a feature vector of the to-be-detected field is obtained, the feature vector is input into a pre-trained vulnerability detection model, and a detection result of the to-be-detected field is obtained, the detection result is used for indicating whether a vulnerability and/or a vulnerability position exists in the to-be-detected field. By adopting the supervised machine learning model to perform vulnerability detection on the to-be-detected field, the detection accuracy is high. In addition, the detection process can assist testers in performing field preliminary screening, and the vulnerability detection efficiency is improved. 本申请提供一种漏洞检测方法、装置、设备及存储介质。该方法包括：在接收目标应用返回的待检测字段后，对待检测字段进行特征提取，获取待检测字段的特征向量，将该特征向量输入预先训练好的漏洞检测模型，获取待检测字段的检测结果，检测结果用于指示待