CVE-2025-5086 is a critical security vulnerability identified in Dassault Systèmes DELMIA Apriso software, affecting all releases from 2020 Golden through 2025 Golden. The vulnerability is classified under CWE-502, which pertains to the deserialization of untrusted data. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without sufficient validation or sanitization, potentially allowing attackers to craft malicious serialized objects. In this case, exploitation could lead to remote code execution (RCE), enabling an attacker to execute arbitrary code on the affected system remotely. The CVSS v3.1 base score is 9.0, indicating a critical severity level. The vector string (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H) reveals that the attack can be performed remotely over the network without requiring privileges or user interaction, but with high attack complexity. The scope is changed, meaning the vulnerability affects resources beyond the initially vulnerable component. Successful exploitation compromises confidentiality, integrity, and availability to a high degree. Although no known exploits are currently reported in the wild, the critical nature and potential impact warrant immediate attention. DELMIA Apriso is a manufacturing operations management software widely used for production process control and supply chain management, making it a high-value target for attackers aiming to disrupt industrial operations or steal sensitive manufacturing data. The lack of published patches at the time of disclosure increases the urgency for organizations to implement interim mitigations and monitor for updates from Dassault Systèmes.

For European organizations, particularly those in manufacturing, automotive, aerospace, and industrial sectors where DELMIA Apriso is deployed, this vulnerability poses a significant risk. Exploitation could lead to unauthorized remote code execution, allowing attackers to manipulate production workflows, steal intellectual property, disrupt supply chains, or cause operational downtime. Given the critical role of manufacturing in the European economy and the increasing digitization of industrial processes, a successful attack could have cascading effects on business continuity and economic stability. Additionally, the compromise of such systems could lead to regulatory and compliance issues under frameworks like GDPR if sensitive personal or business data is exposed. The high severity and network attack vector mean that attackers could potentially exploit this vulnerability from outside the corporate network, increasing the threat surface. The absence of known exploits currently provides a window for proactive defense, but the criticality demands rapid response to prevent future exploitation.

1. Immediate Actions: Implement network segmentation and restrict access to DELMIA Apriso systems to trusted internal networks only, using firewalls and access control lists to limit exposure. 2. Monitoring: Deploy enhanced logging and monitoring on DELMIA Apriso servers to detect anomalous deserialization attempts or unusual remote activity. 3. Vendor Coordination: Engage with Dassault Systèmes for timely updates and patches; prioritize patch deployment as soon as they become available. 4. Application Hardening: Where possible, disable or restrict deserialization features or implement input validation and integrity checks on serialized data. 5. Incident Response Preparedness: Develop and test incident response plans specific to manufacturing system compromises, including backup and recovery procedures. 6. Network Controls: Use intrusion detection/prevention systems (IDS/IPS) tuned to detect exploitation attempts related to deserialization vulnerabilities. 7. Employee Awareness: Train relevant IT and OT personnel on the risks of deserialization vulnerabilities and the importance of applying security updates promptly. These measures, combined, reduce the attack surface, improve detection capabilities, and prepare organizations to respond effectively to potential exploitation.