CVE-2025-33185 identifies a vulnerability in the authentication (AuthN) component of NVIDIA AIStore, a scalable AI data storage solution. The weakness is classified under CWE-862, indicating missing authorization checks that allow unauthenticated users to access information they should not be able to see. Specifically, this flaw permits an attacker to cause information disclosure without requiring any authentication or user interaction, exploiting the system remotely over the network. The vulnerability affects all versions of NVIDIA AIStore prior to 3.31. The CVSS v3.1 score is 5.3 (medium), reflecting that the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:N), and no user interaction needed (UI:N). The impact is limited to confidentiality (C:L), with no effect on integrity or availability. Although no known exploits have been reported in the wild, the vulnerability poses a risk to organizations deploying NVIDIA AIStore for AI data management, as sensitive information could be exposed to unauthorized parties. The absence of a patch link suggests that remediation involves upgrading to version 3.31 or later once available. The vulnerability highlights the importance of proper authorization checks in authentication components, especially in AI infrastructure where data sensitivity is high.

For European organizations, the primary impact of CVE-2025-33185 is unauthorized information disclosure, which could lead to exposure of sensitive AI training data, configuration details, or operational metadata stored within NVIDIA AIStore. This could compromise intellectual property, reveal proprietary AI models or datasets, and potentially aid attackers in crafting further targeted attacks. While the vulnerability does not affect data integrity or system availability, the confidentiality breach alone can have significant reputational and regulatory consequences, especially under GDPR and other data protection laws. Organizations in sectors such as automotive, manufacturing, healthcare, and finance that leverage NVIDIA AIStore for AI workloads are at particular risk. The ease of exploitation without authentication increases the threat level, as attackers can probe vulnerable systems remotely. However, the medium severity rating reflects that the impact is limited to information disclosure without direct system disruption or data manipulation.

1. Upgrade NVIDIA AIStore to version 3.31 or later as soon as the patch is available to ensure the missing authorization checks are implemented. 2. Until patching is possible, restrict network access to the AuthN component of NVIDIA AIStore by implementing strict firewall rules and network segmentation to limit exposure to untrusted networks. 3. Deploy intrusion detection and prevention systems (IDS/IPS) to monitor for unusual or unauthorized access attempts targeting the AIStore AuthN interface. 4. Conduct regular audits of access logs and authentication events to identify potential exploitation attempts. 5. Apply the principle of least privilege for all users and services interacting with AIStore to minimize the risk of lateral movement if a breach occurs. 6. Educate security teams about this specific vulnerability to ensure rapid response and remediation. 7. Coordinate with NVIDIA support and subscribe to security advisories for timely updates on patches and mitigation guidance.