CVE-2025-11406 is an information disclosure vulnerability found in the kaifangqian-base software, specifically in the getAllUsers function within the SysUserController.java file. This flaw allows remote attackers to retrieve sensitive user information by exploiting the function without requiring authentication or user interaction. The vulnerability arises from improper access control or insufficient validation in the getAllUsers method, which exposes user data that should be protected. The attack vector is network-based with low complexity, meaning an attacker can remotely exploit the issue without needing special privileges or user involvement. The product does not use versioning, making it difficult to determine which deployments are affected beyond the identified commit hash. Although no active exploitation in the wild is reported, the public availability of exploit code increases the likelihood of attacks. The CVSS 4.0 score of 5.3 reflects a medium severity level, primarily due to the confidentiality impact and ease of exploitation. The vulnerability does not affect system integrity or availability, nor does it require user interaction, which simplifies exploitation. Organizations using kaifangqian-base should assess their exposure, as sensitive user data leakage can lead to privacy violations, compliance issues, and potential further attacks leveraging disclosed information.

For European organizations, this vulnerability poses a significant risk to the confidentiality of user data managed by kaifangqian-base. Unauthorized disclosure of user information can lead to privacy breaches, regulatory non-compliance (e.g., GDPR violations), reputational damage, and potential secondary attacks such as phishing or credential stuffing. Sectors handling sensitive personal or corporate data, including finance, healthcare, and government, are particularly vulnerable. The ease of remote exploitation without authentication increases the threat level, as attackers can operate anonymously from anywhere. The lack of versioning complicates patch management and vulnerability tracking, potentially prolonging exposure. While the vulnerability does not directly impact system availability or integrity, the indirect consequences of data leakage can disrupt business operations and erode trust. European entities must consider the legal and operational ramifications of such information disclosure, especially under stringent data protection laws.

1. Restrict network access to the getAllUsers endpoint by implementing firewall rules or network segmentation to limit exposure to trusted internal networks only. 2. Deploy web application firewalls (WAFs) with custom rules to detect and block suspicious requests targeting the vulnerable function. 3. Conduct thorough code reviews and implement proper access control checks in the getAllUsers method to ensure only authorized users can retrieve user data. 4. Monitor application logs and network traffic for unusual access patterns or repeated requests to the vulnerable endpoint. 5. If possible, upgrade or patch the kaifangqian-base software once a fix is available; in the meantime, consider disabling or restricting the vulnerable functionality. 6. Implement strong authentication and authorization mechanisms around user data endpoints to prevent unauthorized access. 7. Educate security teams about this vulnerability and the availability of public exploits to enhance detection and response readiness. 8. Maintain an inventory of all kaifangqian-base deployments to identify and prioritize remediation efforts effectively.