CVE-2025-69221 is a vulnerability classified under CWE-862 (Missing Authorization) and CWE-284 (Improper Access Control) affecting the danny-avila LibreChat product, specifically versions prior to 0.8.1-rc2. LibreChat is a ChatGPT clone that supports configuring agents with predefined instructions and contexts, some of which are private and intended to be inaccessible to unauthorized users. The vulnerability arises because the application does not enforce proper access control checks when querying agent permissions. An authenticated attacker who knows the agent ID can retrieve the permissions assigned to that agent, including permissions assigned to other users, even if the attacker should not have access to that agent. This results in unauthorized disclosure of permission data, violating confidentiality principles. The vulnerability does not allow attackers to modify permissions or disrupt service, and no user interaction is required beyond authentication. The flaw was publicly disclosed and fixed in version 0.8.2-rc2. The CVSS v3.1 base score is 4.3, indicating a medium severity with network attack vector, low attack complexity, requiring privileges but no user interaction, and impacting confidentiality only. No known exploits are reported in the wild as of the publication date.

For European organizations using LibreChat versions prior to 0.8.1-rc2, this vulnerability can lead to unauthorized disclosure of sensitive permission configurations related to AI agents. Such information leakage could aid attackers in mapping user roles and permissions, potentially facilitating further targeted attacks or social engineering. Although the vulnerability does not allow direct modification or denial of service, the confidentiality breach could expose sensitive operational details, especially in organizations relying on private agents for internal workflows or confidential communications. This risk is heightened in sectors with strict data protection requirements such as finance, healthcare, and government. The impact is limited by the need for attacker authentication and knowledge of agent IDs, but insider threats or compromised credentials could exploit this flaw. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as LibreChat adoption grows in Europe.

European organizations should immediately upgrade all LibreChat instances to version 0.8.2-rc2 or later, where the authorization checks are properly enforced. Until upgrade, restrict access to the application to trusted users only and implement network-level controls to limit exposure. Avoid exposing agent IDs publicly or through predictable patterns to reduce the risk of unauthorized queries. Conduct audits of existing agent permissions to detect any suspicious access patterns. Employ strong authentication mechanisms and monitor authentication logs for anomalous behavior. Additionally, implement role-based access control (RBAC) policies and ensure that least privilege principles are enforced within LibreChat configurations. Regularly review and update security policies related to AI/chatbot platforms. Finally, maintain awareness of vendor advisories and apply patches promptly.