CVE-2022-39312 is a deserialization vulnerability affecting Dataease, an open-source data visualization and analysis tool, in versions prior to 1.15.2. The vulnerability arises from improper input validation (CWE-20) and insecure deserialization of untrusted data (CWE-502) within the MySQL data source configuration component. Specifically, the JdbcProvider.java file's MysqlConfiguration class does not sanitize or filter JDBC connection parameters provided by users. This allows an attacker to craft a malicious JDBC URL that points to a controlled MySQL server. When Dataease attempts to connect to this malicious server, it triggers a deserialization process vulnerable to exploitation. Through this flaw, an attacker can execute arbitrary system commands on the server hosting Dataease, potentially gaining elevated privileges and full control over the system. The vulnerability is critical because it leverages the trust Dataease places in the MySQL server response and the JDBC driver’s deserialization mechanism. The issue was addressed in Dataease version 1.15.2, which includes patches to validate and restrict JDBC parameters, preventing malicious payloads from being processed.

For European organizations using Dataease versions prior to 1.15.2, this vulnerability poses a significant risk. Exploitation could lead to full system compromise, allowing attackers to execute arbitrary commands, steal sensitive data, disrupt data visualization services, or use the compromised system as a foothold for lateral movement within the network. Given Dataease's role in data analysis and visualization, attackers could manipulate or exfiltrate critical business intelligence data, impacting decision-making processes. The vulnerability's exploitation does not require prior authentication, increasing the attack surface, especially if Dataease instances are exposed to untrusted networks or if attackers can influence JDBC connection parameters through other means. Although no known exploits are currently reported in the wild, the potential for severe impact remains high if attackers develop reliable exploits. The medium severity rating reflects the need for user interaction or specific conditions to exploit, but the consequences of successful exploitation are severe. European organizations in sectors relying heavily on data analytics, such as finance, manufacturing, and government, could face operational disruption and data breaches.

1. Immediate upgrade: Organizations should promptly upgrade Dataease to version 1.15.2 or later, which contains the official patch addressing this vulnerability. 2. Restrict JDBC connection parameters: Implement strict validation and sanitization of JDBC URLs and parameters at the application or network level to prevent injection of malicious parameters. 3. Network segmentation: Limit Dataease server network access to trusted MySQL servers only, blocking connections to untrusted or external MySQL instances. 4. Monitor and audit logs: Enable detailed logging of Dataease connection attempts and monitor for unusual JDBC URL patterns or connections to unknown MySQL servers. 5. Apply principle of least privilege: Run Dataease services with minimal privileges to reduce the impact of potential command execution. 6. Use application-layer firewalls or WAFs: Deploy security controls that can detect and block anomalous JDBC connection attempts or deserialization attack patterns. 7. Conduct regular vulnerability assessments: Continuously scan Dataease deployments for outdated versions and configuration weaknesses. These steps go beyond generic advice by focusing on controlling JDBC parameter inputs, network-level restrictions, and operational monitoring specific to this vulnerability.