In response to the increasing complexity of Industrial Control System （ICS） structure， especially within the context of cloud-edge collaborative computing， which significantly raises cybersecurity risks， an evaluation framework specifically for assessing cross-domain attacks in cloud-edge collaborative scenarios was proposed to identify， evaluate， and defense against potential security threats systematically. Initially， this framework entailed a thorough collection and categorization of ICS assets， cross-domain attack entrances， methods， and impacts， establishing a foundational database and structure for assessment. Furthermore， based on the characteristics of ICS， a novel set of evaluation indicators for cross-domain attacks was developed， encompassing system modules， attack paths， attack methods， and potential impacts. Additionally， through simulation experiments conducted in a simulated ICS environment， the effectiveness of this evaluation framework was tested， verifying its capacity to effectively identify vulnerabilities within the system and enhance overall security. The results demonstrate that the assessment framework can provide both theoretical and practical guidance for the secure application of cloud-edge technologies in industrial settings， indicating promising applicability.