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Search Results (24 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-18941 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 7.7 High |
| A flaw was found in Feast and feast-operator. The default configuration for both the Feast SDK and the feast-operator is "no_auth," meaning no security manager is installed. This default allows unauthenticated and unauthorized access to feature-server, registry-server, and offline-server endpoints. A remote attacker, by exploiting this missing authentication, could achieve remote code execution (RCE) by storing a malicious User-Defined Function (UDF) on the feature-server, trigger a denial of service (DoS) by forcing re-materialization of all tenant features, and gain unauthorized access to cross-tenant data. | ||||
| CVE-2026-16745 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 8.8 High |
| A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This allows an attacker to gain unauthorized access to the Kubernetes API, potentially leading to arbitrary code execution, privilege escalation, or information disclosure. | ||||
| CVE-2026-16456 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 6.5 Medium |
| A flaw was found in the `odh-model-controller`. An authenticated user with permissions to create custom resources can exploit a vulnerability in the `loadSecret` function. This function improperly reads the Secret namespace from user-controlled input without validation. This allows an attacker to read sensitive API keys and cloud credentials from other namespaces, leading to information disclosure. | ||||
| CVE-2026-15378 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-07-14 | 9.3 Critical |
| A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized access to sensitive information, including credentials from cloud metadata services, Kubernetes API, internal MinIO, and other internal network endpoints. Additionally, it enables local file reads of critical data such as service account tokens and pod secrets. | ||||