CVE-2026-25211 identifies a vulnerability classified under CWE-532, which involves the insertion of sensitive information into log files. Specifically, in Llama Stack versions prior to 0.4.0rc3, the password used for the pgvector database integration is not censored or masked in the initialization logs. This means that the plaintext password is recorded in log files generated during the startup or configuration phase of the software. An attacker or unauthorized user who gains access to these log files can retrieve the password, potentially allowing unauthorized access to the pgvector database. The vulnerability has a CVSS 3.1 base score of 3.2, indicating low severity. The vector string (AV:L/AC:H/PR:N/UI:N/S:C/C:L/I:N/A:N) shows that the attack requires local access to the logs (Attack Vector: Local), high attack complexity, no privileges, and no user interaction. The impact is limited to confidentiality loss of the password; integrity and availability are unaffected. No known exploits are reported in the wild, and no official patches have been published at the time of disclosure. This vulnerability highlights poor security hygiene in logging practices, where sensitive credentials should never be logged in plaintext. Organizations using Llama Stack with pgvector should be aware of this risk and take steps to protect log files and credentials.

For European organizations, the primary impact is the potential unauthorized disclosure of the pgvector password if log files are improperly accessed. This could lead to unauthorized database access, exposing stored data or enabling further lateral movement within the network. Although the vulnerability does not directly affect system integrity or availability, the confidentiality breach could compromise sensitive data handled by the pgvector database, especially if it contains proprietary or personal information. Organizations with strict data protection regulations, such as GDPR, may face compliance risks if sensitive credentials are leaked. The requirement for local access and high attack complexity reduces the likelihood of remote exploitation, but insider threats or attackers who have already gained some foothold could leverage this vulnerability. Overall, the impact is limited but non-negligible in environments where log file access controls are weak or where the pgvector database holds critical data.

1. Immediately restrict access to all log files generated by Llama Stack to authorized personnel only, using strict file permissions and access controls. 2. Monitor and audit access to logs to detect any unauthorized attempts. 3. Avoid storing sensitive credentials such as passwords in plaintext within any logs or configuration files. 4. Once available, upgrade Llama Stack to version 0.4.0rc3 or later, where this logging issue is fixed. 5. If upgrading is not immediately possible, consider implementing log redaction or filtering mechanisms to remove or mask sensitive information from existing logs. 6. Rotate the pgvector password to invalidate any potentially exposed credentials. 7. Employ centralized and secure logging solutions that support encryption and access control. 8. Educate developers and system administrators on secure logging best practices to prevent similar issues in the future.