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26 vulnerabilities found for Red Hat OpenShift AI 3.4 by Red Hat
CVE-2026-15218 (GCVE-0-2026-15218)
Vulnerability from cvelistv5
Published
2026-08-17 13:39
Modified
2026-08-27 15:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-266 - Incorrect Privilege Assignment
Summary
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.
References
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|---|---|---|---|---|---|---|---|---|---|---|---|
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Impacted products
| Vendor | Product | Version | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected: 1787153683 < * cpe:/a:redhat:openshift_ai:3.4::el9 |
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CVE-2026-18620 (GCVE-0-2026-18620)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-27 15:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-639 - Authorization Bypass Through User-Controlled Key
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785189934 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-18618 (GCVE-0-2026-18618)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-11 18:48
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Summary
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.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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Impacted products
| Vendor | Product | Version | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785260280 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-18611 (GCVE-0-2026-18611)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-27 15:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-338 - Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785189332 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-18982 (GCVE-0-2026-18982)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-27 15:07
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-250 - Execution with Unnecessary Privileges
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785187053 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-18951 (GCVE-0-2026-18951)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
Summary
A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
Impacted products
| Vendor | Product | Version | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected: 1785188461 < * cpe:/a:redhat:openshift_ai:3.3::el9 |
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CVE-2026-18950 (GCVE-0-2026-18950)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-19 10:21
Severity ?
VLAI Severity ?
EPSS score ?
Summary
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.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785940823 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
|||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||
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CVE-2026-18949 (GCVE-0-2026-18949)
Vulnerability from cvelistv5
Published
2026-08-10 20:45
Modified
2026-08-11 18:39
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-250 - Execution with Unnecessary Privileges
Summary
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.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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Impacted products
| Vendor | Product | Version | |||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785940823 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
|||||||||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||||||||||
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CVE-2026-18948 (GCVE-0-2026-18948)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1786110051 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CVE-2026-18942 (GCVE-0-2026-18942)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-19 09:49
Severity ?
VLAI Severity ?
EPSS score ?
Summary
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.
References
| URL | Tags | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||
Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1786110051 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
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CVE-2026-18941 (GCVE-0-2026-18941)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-11 18:38
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-306 - Missing Authentication for Critical Function
Summary
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.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1786110051 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-18621 (GCVE-0-2026-18621)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-266 - Incorrect Privilege Assignment
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785189934 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CVE-2026-18617 (GCVE-0-2026-18617)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-915 - Improperly Controlled Modification of Dynamically-Determined Object Attributes
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785189332 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
|||||||||||||||||
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CVE-2026-18608 (GCVE-0-2026-18608)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-250 - Execution with Unnecessary Privileges
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785189332 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-16456 (GCVE-0-2026-16456)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-11 18:38
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-441 - Unintended Proxy or Intermediary ('Confused Deputy')
Summary
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.
References
| URL | Tags | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||
Impacted products
| Vendor | Product | Version | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785187158 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-15581 (GCVE-0-2026-15581)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-306 - Missing Authentication for Critical Function
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785187119 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
|||||||||||||||||
|
|||||||||||||||||||
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CVE-2026-15467 (GCVE-0-2026-15467)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-266 - Incorrect Privilege Assignment
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785187119 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-14450 (GCVE-0-2026-14450)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-290 - Authentication Bypass by Spoofing
Summary
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.
References
| URL | Tags | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected: 1785850409 < * cpe:/a:redhat:openshift_ai:3.4::el9 |
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CVE-2026-13717 (GCVE-0-2026-13717)
Vulnerability from cvelistv5
Published
2026-08-10 20:44
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-284 - Improper Access Control
Summary
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.
References
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Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Version: 0 ≤ |
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CVE-2026-16745 (GCVE-0-2026-16745)
Vulnerability from cvelistv5
Published
2026-07-23 10:41
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-346 - Origin Validation Error
Summary
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.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1785940823 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-15378 (GCVE-0-2026-15378)
Vulnerability from cvelistv5
Published
2026-07-10 09:29
Modified
2026-08-27 15:06
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Summary
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.
References
| URL | Tags | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected: 1787360218 < * cpe:/a:redhat:openshift_ai:3.4::el9 |
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CVE-2026-15154 (GCVE-0-2026-15154)
Vulnerability from cvelistv5
Published
2026-07-08 19:50
Modified
2026-08-27 15:21
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Summary
A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.
References
| URL | Tags | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||||||||
Impacted products
| Vendor | Product | Version | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected: 1784230964 < * cpe:/a:redhat:openshift_ai:2.25::el9 |
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CVE-2026-56211 (GCVE-0-2026-56211)
Vulnerability from cvelistv5
Published
2026-06-19 16:28
Modified
2026-08-28 12:04
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-787 - Out-of-bounds Write
Summary
A remote code execution vulnerability was found in libaom, the reference AV1 codec implementation. Insufficient bounds validation in the AV1 encoder's SVC (Scalable Video Coding) layer ID control allows an attacker to supply crafted video frame pixels that overlap with internal encoder layer context structures. In fork-based video processing services, an attacker can use this to hijack the cyclic refresh map pointer, brute-force the process base address via a crash oracle, and redirect control flow to achieve arbitrary command execution. Exploitation requires the target service to use libaom with SVC encoding enabled and accept attacker-supplied video frames.
References
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Impacted products
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| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected: 0:3.14.0-1.el9ai < * cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
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CVE-2026-56210 (GCVE-0-2026-56210)
Vulnerability from cvelistv5
Published
2026-06-19 16:28
Modified
2026-08-28 12:04
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-125 - Out-of-bounds Read
Summary
A heap-buffer-overflow read vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows setting a spatial_layer_id exceeding the configured number of layers. This causes an out-of-bounds heap read of approximately 40,728 bytes when computing a layer context array index. An attacker who can influence SVC encoder parameters in a network-facing service could exploit this for information disclosure (heap content leak) or denial of service (segmentation fault from hitting unmapped memory).
References
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Impacted products
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| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected: 0:3.14.0-1.el9ai < * cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
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CVE-2026-56208 (GCVE-0-2026-56208)
Vulnerability from cvelistv5
Published
2026-06-19 16:28
Modified
2026-08-28 12:04
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-122 - Heap-based Buffer Overflow
Summary
A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.
References
Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Red Hat | Red Hat Enterprise Linux 10.0 Extended Update Support |
Unaffected: 0:140.13.0-1.el10_0 < * cpe:/o:redhat:enterprise_linux_eus:10.0 |
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CVE-2026-56209 (GCVE-0-2026-56209)
Vulnerability from cvelistv5
Published
2026-06-19 16:28
Modified
2026-08-28 12:04
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-787 - Out-of-bounds Write
Summary
An arbitrary address write vulnerability was found in libaom, the reference AV1 codec implementation. A missing bounds check in the SVC (Scalable Video Coding) layer ID control function allows an attacker to inject an arbitrary pointer into the cyclic refresh map field via crafted image pixel values. The encoder then writes approximately 1,200 bytes at the attacker-controlled address. This is fully deterministic and does not require a separate information leak. An attacker who can supply frames to a network-facing libaom encoder with SVC enabled could exploit this for denial of service or potential code execution.
References
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Impacted products
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| Red Hat | Red Hat Enterprise Linux AI 3.3 for RHEL 9 |
Unaffected: 0:3.14.0-1.el9ai < * cpe:/a:redhat:enterprise_linux_ai:3.3::el9 |
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