CVE-2025-6920 is a medium-severity vulnerability affecting the Red Hat AI Inference Server, specifically its model inference API. The flaw lies in the authentication enforcement mechanism for the API endpoints. While all /v1/* endpoints are designed to require API key validation to restrict access, the POST /invocations endpoint does not enforce this authentication check. This results in an authentication bypass, allowing unauthorized users to invoke the inference functionality without valid credentials. The inference server typically processes AI model requests, which may include sensitive or proprietary models and data. Unauthorized access to this endpoint could expose sensitive AI model inference capabilities or allow attackers to misuse backend resources. The vulnerability has a CVSS 3.1 base score of 5.3, reflecting a network attack vector with low attack complexity, no privileges required, and no user interaction needed. The impact on confidentiality is limited to potential exposure of inference features, with no direct impact on integrity or availability reported. No known exploits are currently in the wild, and no patches or affected versions have been explicitly listed yet. However, the flaw represents a significant security gap in the authentication design of the AI inference API, which could be leveraged for unauthorized access or reconnaissance within affected environments.

For European organizations deploying Red Hat AI Inference Server, this vulnerability could lead to unauthorized access to AI model inference services. This may result in exposure of sensitive AI models or data processed by these models, potentially violating data protection regulations such as GDPR if personal or sensitive data is involved. Additionally, attackers could misuse the inference server to perform unauthorized computations or consume resources, leading to potential service degradation. Organizations in sectors relying heavily on AI-driven decision-making, such as finance, healthcare, or manufacturing, may face risks of intellectual property exposure or operational disruption. Although the vulnerability does not directly affect system integrity or availability, unauthorized access could serve as a foothold for further attacks or data leakage. Given the network-exploitable nature and lack of authentication, attackers can remotely exploit this vulnerability without user interaction, increasing the risk profile for exposed inference servers.

To mitigate this vulnerability, European organizations should immediately audit their Red Hat AI Inference Server deployments to identify if the POST /invocations endpoint is exposed without authentication. Network-level controls such as firewall rules or API gateways should be configured to restrict access to the inference server endpoints only to trusted clients. Implementing strict API key validation and ensuring all endpoints enforce authentication is critical. Organizations should monitor network traffic for unusual or unauthorized access attempts to the /invocations endpoint. Until an official patch is released by Red Hat, consider isolating the inference server within a secure network segment and applying strict access control lists (ACLs). Additionally, review and update security policies to include regular verification of API authentication enforcement. Once patches become available, prioritize timely deployment. Finally, conduct security awareness training for DevOps and security teams on the importance of comprehensive authentication enforcement in AI service APIs.