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| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-18608 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 8.7 High |
| A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster. | ||||
| CVE-2026-16974 | 2 Themeum, Wordpress | 2 Kirki – Freeform Page Builder, Website Builder & Customizer, Wordpress | 2026-08-11 | 6.4 Medium |
| The Kirki – Freeform Page Builder, Website Builder & Customizer plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the post_meta Shortcode in all versions up to, and including, 6.2.0 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with Contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. | ||||
| CVE-2026-72731 | 1 Discourse | 1 Discourse | 2026-08-11 | 7.1 High |
| Discourse is an open-source discussion platform. From 2026.1.0-latest until 2026.1.7, 2026.6.2, 2026.7.1, and 2026.8.0-latest.1, anyone able to run a parameterized Data Explorer query, including non-staff members of a group a query is shared with, could craft parameter values that escaped the intended query and executed arbitrary SQL through plugins/discourse-data-explorer/lib/discourse_data_explorer/data_explorer.rb and plugins/discourse-data-explorer/lib/discourse_data_explorer/workflows/sql_action/v1.rb. Recursive parameter interpolation allowed one parameter value to introduce another parameter, and parameter declarations in SQL comments could be used to inject a statement. Queries run in a read-only transaction, so data could not be modified, but any table could be read. This issue is fixed in versions 2026.1.7, 2026.6.2, 2026.7.1, and 2026.8.0-latest.1. | ||||
| CVE-2026-19516 | 2026-08-11 | 9.1 Critical | ||
| A caller-supplied X-Grafana-URL request header controls the destination of mcp-grafana's outbound requests, and the grafana_api_request tool lets the caller also choose the HTTP method, path, and body. Because the destination is not restricted to the configured Grafana instance, a caller can direct requests at internal, loopback, and link-local network services (including metadata endpoints) and read the responses, resulting in server-side request forgery. The fix for CVE-2026-15583 prevented the configured service-account token from being sent to unintended destinations but did not restrict the destinations themselves. | ||||
| CVE-2026-72760 | 1 Misp | 1 Cti-transmute | 2026-08-11 | N/A |
| Affected versions of MISP cti-transmute disclose users' email addresses through the account following-list endpoint. When an authenticated user follows another account, get_following() includes the followed user's email field in the API response alongside their name, user ID, and follow date. Because the email address is not required for the functionality and other related user lists omit it, an authenticated attacker could systematically follow users and collect their email addresses. The fix removes user.email from the returned object. | ||||
| CVE-2026-72729 | 1 Discourse | 1 Discourse | 2026-08-11 | N/A |
| Discourse is an open-source discussion platform. Prior to 2026.1.6, 2026.5.2, 2026.6.1, and 2026.7.0, the discourse-local-dates plugin rendered crafted local-date format data as HTML on sites with a modified or disabled default Content Security Policy. This issue is fixed in versions 2026.1.6, 2026.5.2, 2026.6.1, and 2026.7.0. | ||||
| CVE-2026-18949 | 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. This vulnerability allows an attacker, who has compromised the dashboard's Service Account (SA) token, to exploit overly broad permissions granted to the SA. This enables the attacker to escalate their privileges to cluster-administrator level, gain access to sensitive data like credentials and keys across the entire cluster, and disrupt multi-tenant isolation. | ||||
| CVE-2026-19193 | 1 Jiangmin | 1 Antivirus | 2026-08-11 | 7.8 High |
| A flaw has been found in Jiangmin Antivirus 21. Impacted is the function MessageNotifyCallback in the library kvcore.sys of the component Minifilter Port. Executing a manipulation can lead to improper access controls. The attack needs to be launched locally. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way. | ||||
| CVE-2026-19195 | 1 V-secure | 1 Jingyun Antivirus | 2026-08-11 | 7.8 High |
| A vulnerability has been found in V-Secure Jingyun Antivirus 2.4.2.39. The affected element is an unknown function in the library ZyArk.sys of the component Kernel Driver. The manipulation leads to improper access controls. The attack needs to be performed locally. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. | ||||
| CVE-2026-18620 | 1 Redhat | 1 Openshift Ai | 2026-08-11 | 7.1 High |
| A flaw was found in Data Science Pipelines. A restricted user, or tenant, can exploit an improper authorization vulnerability in the setDefaultServiceAccount function. By specifying a more privileged ServiceAccount (SA) during a CreateRun request, an attacker can bypass authorization checks. This allows the tenant to run their containers with elevated privileges, potentially leading to the disclosure of sensitive information (secrets) and the ability to execute commands within other users' pods. | ||||
| CVE-2026-18618 | 1 Redhat | 1 Openshift Ai | 2026-08-11 | 7.5 High |
| A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network access to the MLMD pod, could exploit these vulnerabilities by sending specially crafted HTTP/2 requests. This could lead to a denial of service by crashing the MLMD pod, disrupting all pipeline runs in the affected namespace. | ||||
| CVE-2026-18611 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 7.5 High |
| A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure. | ||||
| CVE-2026-18982 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 8.8 High |
| A flaw was found in the RHOAI training-operator. This vulnerability allows a user with standard edit or admin roles in any Kubernetes namespace to escalate their privileges. Through the creation of training jobs, an attacker can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue arises from the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles, coupled with unrestricted PodTemplateSpec passthrough. | ||||
| CVE-2026-18950 | 1 Redhat | 1 Openshift Ai | 2026-08-11 | 8.8 High |
| A flaw was found in odh-dashboard. An authenticated user of the dashboard can exploit a vulnerability related to how RoleBindings are created. The system does not properly validate the `roleRef` field, allowing a user to specify an arbitrary role, including highly privileged ones like `cluster-admin`. This can lead to privilege escalation, where an attacker gains unauthorized elevated access within their namespace and potentially persistent control over the system. | ||||
| CVE-2026-18948 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 9.9 Critical |
| 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. | ||||
| CVE-2026-18941 | 1 Redhat | 1 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-2026-18947 | 2 Red Hat, Redhat | 2 Red Hat Openshift Ai (rhoai), Openshift Ai | 2026-08-11 | 8.5 High |
| A flaw was found in Feast. An authorization bypass vulnerability exists in the /materialize and /materialize-incremental endpoints. By sending a specially crafted request that omits the feature_views field, an attacker can bypass intended permission checks. This allows an unauthenticated remote attacker, or any authenticated user, to trigger a full re-materialization of all feature views. The consequence is a Denial of Service (DoS) due to data corruption and significant resource consumption across all tenants. | ||||
| CVE-2026-18621 | 1 Redhat | 2 Ai Inference Server, Openshift Ai | 2026-08-11 | 7.6 High |
| 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. | ||||
| CVE-2026-18617 | 1 Redhat | 1 Openshift Ai | 2026-08-11 | 8.8 High |
| A flaw was found in the Data Science Pipelines Operator (DSPO). A namespace editor can exploit a vulnerability in the spec.database.customExtraParams field, which allows for the injection of dangerous parameters into the MySQL Data Source Name (DSN) string. By manipulating these parameters, an attacker can enable LOCAL INFILE functionality and exfiltrate sensitive files, such as the service account token, from the operator pod. This can lead to privilege escalation, allowing a namespace editor to gain cluster-admin privileges. | ||||
| 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. | ||||