CVE-2026-25211 identifies a vulnerability in the Llama Stack software prior to version 0.4.0rc3, where the password for the pgvector database component is logged in plaintext during the initialization process. This vulnerability falls under CWE-532, which concerns the insertion of sensitive information into log files. The root cause is the failure of the software to censor or mask the pgvector password in its initialization logs, resulting in potential exposure of sensitive credentials to anyone with access to these logs. The vulnerability has a CVSS 3.1 base score of 3.2, indicating low severity, with the attack vector being local (AV:L), high attack complexity (AC:H), no privileges required (PR:N), and no user interaction needed (UI:N). The scope is changed (S:C) because the vulnerability could affect components beyond the initially vulnerable software if credentials are compromised. The impact on confidentiality is low (C:L), with no impact on integrity or availability. Exploitation requires local access to the system logs and is not trivial due to the high complexity. No known exploits have been reported in the wild, and no official patches are currently available. The vulnerability highlights a common security oversight where sensitive information is inadvertently exposed through logging mechanisms, which can be leveraged by attackers to gain unauthorized access or escalate privileges if they obtain log access. Organizations using Llama Stack with pgvector integration should be aware of this risk and take proactive steps to secure their logs and credentials.

For European organizations, the primary impact of this vulnerability is the potential exposure of database credentials through log files. If an attacker gains local access to the system or log storage, they could retrieve the pgvector password, potentially allowing unauthorized access to the database. This could lead to data confidentiality breaches, especially if sensitive or regulated data is stored in the database. While the vulnerability itself does not directly affect system integrity or availability, credential leakage can be a stepping stone for further attacks such as privilege escalation or lateral movement within the network. Organizations in sectors with strict data protection requirements, such as finance, healthcare, and government, may face compliance risks if sensitive information is exposed. The low severity and high attack complexity reduce the likelihood of widespread exploitation, but insider threats or attackers who have already gained some access could exploit this vulnerability. The absence of user interaction and privileges required means that once local access is obtained, the vulnerability can be exploited without additional barriers.

1. Monitor and restrict access to log files containing initialization information to trusted personnel only, using strict file permissions and access controls. 2. Implement log management solutions that support masking or redaction of sensitive information, ensuring that passwords and secrets are never logged in plaintext. 3. Until an official patch is released, consider disabling or modifying logging of initialization parameters in Llama Stack if possible. 4. Use environment variables or secure vaults for managing credentials instead of hardcoding or passing them in ways that might be logged. 5. Regularly audit logs for sensitive information exposure and remove or secure any logs containing passwords. 6. Plan to upgrade Llama Stack to version 0.4.0rc3 or later once available, which addresses this vulnerability by censoring the password in logs. 7. Employ host-based intrusion detection systems to alert on unauthorized access to log files. 8. Educate developers and system administrators about secure logging practices to prevent similar issues in the future.