CVE-2026-5483: Insertion of Sensitive Information Into Sent Data in Red Hat Red Hat OpenShift AI 2.16
A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attacker to gain unauthorized access to Kubernetes resources.
AI Analysis
Technical Summary
A vulnerability (CVE-2026-5483) exists in the odh-dashboard component of Red Hat OpenShift AI 2.16 that permits disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This flaw could allow an attacker with network access to the endpoint to obtain sensitive tokens, leading to unauthorized access to Kubernetes resources. The CVSS 3.1 base score is 8.5, indicating high severity with network attack vector, high impact on confidentiality, integrity, and availability, and requiring low privileges but high attack complexity. Red Hat has issued security advisories RHSA-2026:7397 and RHSA-2026:7398 with updated container images for OpenShift AI 2.16.4 and 2.25.4 respectively. The advisories recommend upgrading to these versions to mitigate the vulnerability. However, explicit patch details or remediation instructions are not yet fully documented in the advisories.
Potential Impact
Successful exploitation of this vulnerability can lead to disclosure of Kubernetes Service Account tokens, which are sensitive credentials used for authentication within Kubernetes clusters. This disclosure can enable attackers to gain unauthorized access to Kubernetes resources, potentially compromising cluster security, data confidentiality, integrity, and availability. The CVSS score of 8.5 reflects a high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
Red Hat has released updated container images for Red Hat OpenShift AI versions 2.16.4 and 2.25.4 that address this vulnerability. Users should upgrade their OpenShift AI clusters to these versions following the official Red Hat documentation and upgrade instructions at https://docs.redhat.com/en/documentation/red_hat_openshift_ai/. Patch status is not explicitly confirmed beyond the availability of updated images; therefore, users should apply these updates promptly to mitigate the risk. Monitor Red Hat advisories for further detailed remediation guidance.
CVE-2026-5483: Insertion of Sensitive Information Into Sent Data in Red Hat Red Hat OpenShift AI 2.16
Description
A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attacker to gain unauthorized access to Kubernetes resources.
CVSS v3.1
Score 8.5high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
A vulnerability (CVE-2026-5483) exists in the odh-dashboard component of Red Hat OpenShift AI 2.16 that permits disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This flaw could allow an attacker with network access to the endpoint to obtain sensitive tokens, leading to unauthorized access to Kubernetes resources. The CVSS 3.1 base score is 8.5, indicating high severity with network attack vector, high impact on confidentiality, integrity, and availability, and requiring low privileges but high attack complexity. Red Hat has issued security advisories RHSA-2026:7397 and RHSA-2026:7398 with updated container images for OpenShift AI 2.16.4 and 2.25.4 respectively. The advisories recommend upgrading to these versions to mitigate the vulnerability. However, explicit patch details or remediation instructions are not yet fully documented in the advisories.
Potential Impact
Successful exploitation of this vulnerability can lead to disclosure of Kubernetes Service Account tokens, which are sensitive credentials used for authentication within Kubernetes clusters. This disclosure can enable attackers to gain unauthorized access to Kubernetes resources, potentially compromising cluster security, data confidentiality, integrity, and availability. The CVSS score of 8.5 reflects a high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
Red Hat has released updated container images for Red Hat OpenShift AI versions 2.16.4 and 2.25.4 that address this vulnerability. Users should upgrade their OpenShift AI clusters to these versions following the official Red Hat documentation and upgrade instructions at https://docs.redhat.com/en/documentation/red_hat_openshift_ai/. Patch status is not explicitly confirmed beyond the availability of updated images; therefore, users should apply these updates promptly to mitigate the risk. Monitor Red Hat advisories for further detailed remediation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2026-04-03T12:27:18.589Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
- Vendor Advisory Urls
- [{"url":"https://access.redhat.com/errata/RHSA-2026:7397","vendor":"Red Hat"},{"url":"https://access.redhat.com/security/cve/CVE-2026-5483","vendor":"Red Hat"}]
Threat ID: 69d938791cc7ad14dad9528c
Added to database: 04/10/2026, 17:50:49 UTC
Last enriched: 07/15/2026, 09:33:27 UTC
Last updated: 07/31/2026, 19:22:59 UTC
Views: 167
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