CVE-2025-10770 is a medium-severity vulnerability affecting the jeecgboot JimuReport product, specifically versions 2.1.0 through 2.1.2. The vulnerability arises from insecure deserialization in an unspecified function related to the /drag/onlDragDataSource/testConnection endpoint within the MySQL JDBC Handler component. Deserialization vulnerabilities occur when untrusted data is processed by an application in a way that allows attackers to manipulate serialized objects, potentially leading to remote code execution or other malicious actions. In this case, the vulnerability allows remote attackers to perform manipulation that triggers deserialization without requiring user interaction or authentication, as indicated by the CVSS vector (AV:N/AC:L/AT:N/UI:N/PR:L). The CVSS score of 5.3 reflects a medium severity, with limited impact on confidentiality, integrity, and availability (VC:L/VI:L/VA:L), and requires low privileges (PR:L). Although no known exploits are currently observed in the wild, the exploit code has been publicly disclosed, increasing the risk of exploitation. The vulnerability affects a component that handles MySQL JDBC connections, which is critical for database interactions in JimuReport, a reporting tool within the jeecgboot ecosystem. The lack of patches or official remediation links suggests that organizations must proactively implement mitigations or upgrade once fixes become available. Overall, this vulnerability poses a moderate risk due to its remote exploitability and the potential for unauthorized manipulation of serialized data, which could lead to data compromise or service disruption if exploited.

For European organizations using jeecgboot JimuReport versions 2.1.0 to 2.1.2, this vulnerability could lead to unauthorized remote manipulation of serialized data, potentially compromising the integrity and availability of reporting services and underlying databases. Given that JimuReport is used for generating and managing business reports, exploitation could disrupt critical business intelligence operations, cause data inconsistencies, or lead to unauthorized data access. The medium severity indicates that while the impact is not catastrophic, it could still affect operational continuity and data trustworthiness. Organizations in sectors relying heavily on data reporting and analytics, such as finance, manufacturing, and public administration, may face increased risks. The absence of required user interaction or authentication lowers the barrier for attackers, increasing the threat landscape. However, the requirement for low privileges suggests that attackers may need some initial access or foothold within the network to exploit the vulnerability fully. The public availability of exploit code further elevates the risk, as less sophisticated attackers could attempt exploitation. Overall, the vulnerability could lead to moderate operational disruptions and data integrity issues if not addressed promptly.

1. Immediate mitigation should include restricting access to the /drag/onlDragDataSource/testConnection endpoint through network segmentation, firewall rules, or web application firewalls (WAF) to limit exposure to untrusted networks. 2. Implement strict input validation and sanitization on all data processed by the MySQL JDBC Handler component to prevent malicious serialized objects from being processed. 3. Monitor logs and network traffic for unusual activity related to the vulnerable endpoint, including unexpected deserialization attempts or anomalous database connection tests. 4. Apply the principle of least privilege by ensuring that the service account running JimuReport has minimal permissions on the database and system to limit the impact of potential exploitation. 5. Stay alert for official patches or updates from the jeecgboot project and plan for timely application once available. 6. Consider deploying runtime application self-protection (RASP) or enhanced application monitoring tools that can detect and block deserialization attacks dynamically. 7. Conduct internal security assessments and penetration tests focusing on deserialization vulnerabilities and endpoint security to identify and remediate weaknesses proactively.