| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A flaw was found in the TrustyAI Service (TAS) deployment. This vulnerability allows any pod on the cluster network to bypass authentication and directly access the TAS backend API. An attacker can exploit this to read, tamper with, or delete monitoring data and configurations, and inject arbitrary data into the service, potentially disrupting tenant operations. |
| A flaw was found in the trustyai-service-operator's LMEvalJob controller. An authenticated user within the cluster can exploit this vulnerability by configuring a sidecar container to bypass existing security policies. This allows the user to enable and execute untrusted remote code, leading to arbitrary code execution within the cluster. |
| A flaw was found in the foreman_ansible plugin's Ansible inventory API. The controller builds its host query using an unscoped Host.where call that does not enforce the search filter associated with the caller's view_hosts permission. An authenticated user whose host visibility is restricted by a permission filter can supply arbitrary host IDs within their organization and receive the full Ansible inventory for those hosts, including parameter values marked as hidden. |
| A flaw was found in the foreman_ansible plugin's Ansible override values API. The destroy action resolves the target LookupValue record by ID without verifying it belongs to an AnsibleVariable the caller is authorized to edit. An authenticated user with the edit_ansible_variables permission can delete any LookupValue by ID, including override values for Ansible variables outside their permission filter scope and override values belonging to Puppet smart class parameters. |
| A flaw was found in the foreman_remote_execution plugin's template invocations controller. The show_template_invocation_by_host action resolves the job invocation by ID without evaluating the caller's view_job_invocations permission filter against the record. An authenticated user whose job invocation visibility is restricted by a permission filter can enumerate job invocation IDs and read the live output, rendered script, and input values for other users' job invocations within their own organizations. |
| A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node. |
| A flaw was found in odh-dashboard in Red Hat OpenShift AI. The backend-for-frontend route GET /api/nim-serving/:nimResource reads Kubernetes Secrets using the dashboard service account and returns the full Secret object, including .data, without an authorization check. Any authenticated dashboard user can retrieve the cluster NVIDIA NGC API key Secret (apiKeySecret) and the NIM image pull secret (nimPullSecret). Create and delete of the same NIM credential are admin-gated; the read path is not. This is missing authorization (CWE-862) and insufficiently protected credentials (CWE-522). It is distinct from CVE-2026-5483 (service-account token leak in the Kubernetes client response wrapper on the same route) and CVE-2026-16456 (odh-model-controller cross-namespace confused deputy). |
| A flaw was found in the jwcrypto library, which is used for implementing Javascript Object Signing and Encryption (JOSE) standards. The issue occurs when the library verifies a General JSON Serialization JWS using a set of keys. Due to a coding error, the library fails to correctly identify the specific key ID (kid) and may instead accept a signature made by any valid key in the set. This can allow an attacker with a valid key to bypass authorization checks in applications that rely on the key ID to identify specific tenants or users. |
| A flaw was found in jwcrypto. A remote attacker can send a specially crafted JSON Web Encryption (JWE) token containing numerous period delimiters. This malformed token can force the JWE.deserialize() function to allocate excessive memory, leading to a MemoryError. This issue results in a denial of service (DoS) for services that process untrusted JWE values. |
| A flaw was found in FFmpeg. The tdsc_load_cursor() function writes beyond
the bounds of a heap-allocated buffer when processing crafted TDSC cursor
data. A remote attacker could exploit this by supplying a specially crafted
video file, potentially leading to a denial of service or arbitrary code
execution. |
| A flaw was found in Katello where the Content View Filter Rules API does not properly enforce authorization on the parent Content View Filter. An authenticated, low-privileged user with Content View permissions in one organization may be able to access and modify filter rules belonging to a Content View Filter in another organization by supplying that filter's identifier. This can result in unauthorized disclosure of filter-rule information and unauthorized changes to unpublished Content View filter configuration. |
| A flaw was found in the maas-api and maas-controller ServiceAccounts within Red Hat OpenShift AI. These ServiceAccounts are granted cluster-wide permissions that exceed their operational requirements. An attacker who compromises the identity of these ServiceAccounts, either through a remote code execution vulnerability or by creating a malicious pod in the same namespace, could exploit these excessive permissions. This could lead to full cluster administrator privileges through the creation of new ClusterRoleBindings or the disclosure of sensitive information by accessing all secrets across the cluster. |
| A flaw was found in Feast. The system improperly deserializes user-defined functions (UDFs) stored in its registry, which are serialized using the 'dill' library. This allows a remote attacker to store a malicious UDF, leading to unauthenticated arbitrary code execution on the feature server in default configurations. An authenticated attacker can also achieve arbitrary code execution on the registry server by bypassing authorization checks during deserialization. This vulnerability can result in cross-tenant data access and lateral movement within the system. |
| A flaw was found in the MaaS API. This vulnerability allows any pod within the cluster to bypass the Kuadrant AuthPolicy gateway by forging HTTP headers, specifically `X-MaaS-Username` and `X-MaaS-Group`, which are trusted verbatim. This lack of first-party authentication enables an attacker to gain unauthorized access and escalate privileges. The concrete consequences include the ability to mint Kubernetes ServiceAccount tokens in other tenants' namespaces, revoke API keys, and exfiltrate sensitive model access configuration. |
| A flaw was found in the Red Hat OpenShift AI (RHOAI) MaaS Gateway. Improper configuration of the Gateway in a model-serving context allows a standard user with low privileges to intercept, read, log, and alter all MaaS model traffic. This includes sensitive information such as access keys, input prompts, and outputs, leading to significant information disclosure and data tampering. |
| A flaw was found in Red Hat Quay. An administrator of any repository, by knowing or guessing a target notification's Universally Unique Identifier (UUID), can read the notification configuration, including sensitive details like webhook URLs, Slack tokens, and email addresses. This vulnerability also allows them to trigger test notifications for another repository. This could lead to unauthorized information disclosure and potential misuse of notification services. |
| A flaw was found in koku-metrics-operator. The operator's CostManagementMetricsConfig custom resource allows user able to edit the CR to specify an arbitrary upload URL. When authentication.type is set to token (the default), the cluster-global Red Hat Cloud pull-secret bearer token is attached to HTTP requests sent to this user-controlled URL, allowing the attacker to obtain the token. |
| A flaw was found in koku-metrics-operator. The operator's CostManagementMetricsConfig custom resource allows a user able to edit the CR to specify an arbitrary OAuth token endpoint. When authentication.type is set to service-account, the operator sends the tenant's Red Hat SSO client_id and client_secret to this user-controlled URL, allowing the attacker to obtain the credentials. |
| A flaw was found in the koku-metrics-operator for Red Hat OpenShift. The operator's CostManagementMetricsConfig custom resource allows a user able to edit the CR to specify an arbitrary upload URL. The operator attaches its own Kubernetes service-account bearer token to queries sent to this user-controlled URL, allowing the attacker to obtain the token. |
| A flaw was found in the Feast operator. A malicious tenant could inject arbitrary code into their feature repository. This code would be executed by an automated process with elevated privileges, allowing the tenant to steal sensitive credentials. This could lead to a direct escalation of privileges, granting the tenant administrative control over the Kubernetes cluster. |
