CVE-2025-59355 is a vulnerability classified under CWE-532 (Insertion of Sensitive Information into Log File) affecting Apache Linkis versions 1.0.0 to 1.7.0. The issue occurs in the HiveUtils.decode() method, which attempts to Base64 decode input parameters. When decoding fails, the method logs the entire input string along with the error, potentially exposing sensitive information such as Hive Metastore keys or plaintext passwords embedded in configuration fields like javax.jdo.option.ConnectionPassword. This logging happens at the error level, which is typically enabled only in troubleshooting scenarios, reducing the likelihood of exposure. However, if log files are accessible by unauthorized users, this can lead to information leakage. The vulnerability requires that the configuration contains invalid Base64 strings, which is uncommon but possible due to misconfiguration or corruption. Apache Linkis 1.8.0 addresses this by replacing the detailed logging with a desensitized message that omits the sensitive input string. The CVSS 3.1 score of 6.5 reflects a network attack vector with low attack complexity, requiring privileges to read logs but no user interaction, and impacts confidentiality without affecting integrity or availability. No known exploits are reported in the wild, but the risk remains for organizations that do not upgrade or restrict log access properly.

For European organizations, the primary impact is the potential exposure of sensitive credentials stored in Apache Linkis configuration files through log files. This can lead to unauthorized access to Hive Metastore databases or other linked systems if attackers gain access to logs. Such exposure compromises confidentiality and could facilitate further lateral movement or data exfiltration within enterprise environments. The impact is particularly relevant for organizations handling large-scale data analytics or big data platforms that rely on Apache Linkis for workflow integration. Since the vulnerability does not affect integrity or availability, the operational disruption is minimal, but the breach of sensitive information can have regulatory and reputational consequences under GDPR and other data protection laws. The risk is heightened if log files are not properly secured or if error-level logging is enabled in production environments. Overall, the vulnerability poses a moderate risk that can be mitigated effectively through patching and access controls.

1. Upgrade Apache Linkis to version 1.8.0 or later, where the vulnerability is fixed by logging desensitized error messages instead of full input strings. 2. Restrict access permissions on log files to ensure only authorized administrators can read them, minimizing the risk of sensitive data exposure. 3. Review and validate configuration files to ensure that sensitive fields such as passwords are correctly Base64 encoded and free of corruption or invalid characters. 4. Implement monitoring to detect unusual error-level logs related to Base64 decoding failures, which may indicate attempted exploitation or misconfiguration. 5. Consider disabling or limiting error-level logging in production environments unless necessary for troubleshooting, to reduce the exposure window. 6. Conduct regular audits of log file contents and access controls as part of security hygiene. 7. Educate administrators on secure configuration management and the risks of logging sensitive information.