Skip to content
Fencer Vulns
high 8.5

CVE-2026-18947 json

Feast: feast: authorization bypass in /materialize endpoints enables dos via unauthorized full re-materialization

published 2026-08-10 2 mo ago modified 2026-10-19 21 d ago also EUVD-2026-55817

cvss
8.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.6%
EPSS 0.6% chance of exploitation in 30 days, percentile 48%
public exploits
0
none known

Summary

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.

Patch / fix

  • Red Hat Red Hat OpenShift AI 2.25 1786110051
  • Red Hat Red Hat OpenShift AI 3.3 1786110033
  • Red Hat Red Hat OpenShift AI 3.4 1791863220

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-18947 updated cvss 8.5

feast: Feast: Authorization bypass in /materialize endpoints enables DoS via unauthorized full re-materialization

  • Red Hat OpenShift AI 2.25 rhoai/odh-feature-server-rhel9 1786110051
    fixed: vendor fix RHSA-2026:53261
  • Red Hat OpenShift AI 3.3 rhoai/odh-feature-server-rhel9 1786110033
    fixed: vendor fix RHSA-2026:53263
  • Red Hat OpenShift AI 3.4 rhoai/odh-feature-server-rhel9 1791863220
    fixed: vendor fix RHSA-2026:84734
  • Red Hat OpenShift AI (RHOAI) rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9, rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9, rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9, +7 more Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1786112809, rhoai/odh-dashboard-rhel9 1785940823, rhoai/odh-operator-bundle 1786113363, rhoai/odh-caikit-nlp-rhel9 1785186995, rhoai/odh-ta-lmes-job-rhel9 1785187011, rhoai/odh-feast-operator-rhel9 1786110116, +19 more Red Hat OpenShift AI 3.3 rhoai/odh-trainer-rhel9 1785187865, rhoai/odh-rhel9-operator 1786129846, rhoai/odh-dashboard-rhel9 1786109683, rhoai/odh-operator-bundle 1786130475, rhoai/odh-ta-lmes-job-rhel9 1785187607, rhoai/odh-mod-arch-maas-rhel9 1786109736, +21 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1791509689, rhoai/odh-automl-rhel9 1791535789, rhoai/odh-mlflow-rhel9 1791865967, rhoai/odh-autorag-rhel9 1791557539, rhoai/odh-trainer-rhel9 1791869783, +99 more
    not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation
none
Automatable
no
Technical impact
partial
Assessed
2 mo ago

Exploit prediction

0.59% chance of exploitation in the next 30 days, higher than 48% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 8.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:H/A:L

Affected products

  • Red Hat Red Hat OpenShift AI 2.25
  • Red Hat Red Hat OpenShift AI 3.3
  • Red Hat Red Hat OpenShift AI 3.4
  • Red Hat Red Hat OpenShift AI (RHOAI)

Classification

Weakness

References

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.