CVE-2025-10898 is an out-of-bounds write vulnerability classified under CWE-787, affecting Autodesk Shared Components version 2026.0. The flaw is triggered when the software parses a specially crafted MODEL file, leading to memory corruption. This memory corruption can cause the application to crash, corrupt data, or allow an attacker to execute arbitrary code within the context of the affected process. The vulnerability has a CVSS 3.1 base score of 7.8, indicating high severity, with the vector AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. This means the attack requires local access and user interaction but no privileges or authentication, and it impacts confidentiality, integrity, and availability. The vulnerability is particularly dangerous because arbitrary code execution can lead to full system compromise if the affected process has elevated privileges. Autodesk Shared Components are widely used across multiple Autodesk products, which are prevalent in design, engineering, and manufacturing industries. Although no exploits are currently known in the wild, the vulnerability’s nature and impact warrant immediate attention. The lack of available patches at the time of publication increases the urgency for organizations to implement interim mitigations. The vulnerability’s exploitation vector involves user interaction, typically opening or importing a malicious MODEL file, which could be delivered via phishing, compromised repositories, or insider threats. Given the critical role of Autodesk software in European industrial and infrastructure sectors, this vulnerability poses a significant risk to operational continuity and intellectual property protection.

For European organizations, the impact of CVE-2025-10898 can be severe. Autodesk products are widely used in sectors such as automotive, aerospace, construction, and manufacturing, all critical to the European economy. Exploitation could lead to unauthorized code execution, resulting in theft or destruction of sensitive design data, disruption of engineering workflows, and potential downtime of critical systems. This could compromise intellectual property, delay project timelines, and cause financial losses. Additionally, data corruption or application crashes could affect the integrity and availability of design files, impacting operational efficiency. Organizations involved in critical infrastructure or government projects using Autodesk software may face heightened risks, including espionage or sabotage. The requirement for local access and user interaction somewhat limits remote exploitation but does not eliminate risk, especially in environments where users frequently exchange design files. The absence of known exploits currently provides a window for proactive defense, but the high severity score underscores the need for urgent mitigation to prevent future attacks.

1. Monitor Autodesk’s official channels closely for patches addressing CVE-2025-10898 and apply them immediately upon release. 2. Until patches are available, restrict the opening of MODEL files to trusted sources only, employing strict file validation and sandboxing techniques. 3. Implement application whitelisting to prevent unauthorized execution of potentially malicious files. 4. Educate users on the risks of opening untrusted MODEL files and enforce policies to reduce risky user behavior. 5. Employ endpoint detection and response (EDR) solutions to monitor for anomalous behavior indicative of exploitation attempts. 6. Use network segmentation to limit the spread of potential compromise originating from affected Autodesk products. 7. Regularly back up critical design data and verify backup integrity to enable recovery in case of data corruption or ransomware attacks. 8. Consider deploying virtualized or containerized environments for running Autodesk software to isolate potential exploits. 9. Review and tighten local access controls to reduce the risk of unauthorized local exploitation. 10. Collaborate with cybersecurity teams to conduct threat hunting focused on signs of exploitation related to this vulnerability.