Status: UPDATED
| Advisory ID: CVE-2026-18618
Key Details
| CVE | CVE-2026-18618 |
| CVSS Score / Version | 7.5 (High) / CVSS v3.1 |
| Updated | 2026-09-21 |
| CVSS Vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| CVSS Prose | attack vector is network; attack complexity is low; privileges required is none; user interaction is none; scope is unchanged; confidentiality impact is none; integrity impact is none; availability impact is high. |
| Affected products | Red Hat Red Hat OpenShift AI 3.3, Red Hat Red Hat OpenShift AI 3.4, Red Hat Red Hat OpenShift AI 2.25, and Red Hat Red Hat OpenShift AI 3.5 |
| Classified as | CWE-770 (Allocation of Resources Without Limits or Throttling) |
Affected Products, Subsystems & Sectors
| Subsystems | General OT |
| Sectors | Multiple |
What to Know
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 The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues.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. (NVD)
What to Do
Monitor Red Hat's web page for any future patch releases.
References