CVE-2026-18941 (GCVE-0-2026-18941)

Vulnerability from cvelistv5 – Published: 2026-08-10 20:44 – Updated: 2026-08-11 18:38
VLAI
Title
Feast: feast-operator: feast: default authentication mode is no_auth — shared multi-tenant instances deployed without authentication
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.
Severity
7.7 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-11 17:41 UTC
CWE
  • CWE-306 - Missing Authentication for Critical Function
Assigner
References
URL Tags
https://access.redhat.com/errata/RHSA-2026:53261 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:53262 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:53263 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/security/cve/CVE-2026-18941 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2511116 issue-trackingx_refsource_REDHAT
Impacted products
Vendor Product Version CPE status
Red Hat Red Hat OpenShift AI 2.25 Unaffected: 1786110051 , < * (rpm)
    cpe:/a:redhat:openshift_ai:2.25::el9
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Red Hat Red Hat OpenShift AI 3.3 Unaffected: 1786110033 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.3::el9
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Red Hat Red Hat OpenShift AI 3.4 Unaffected: 1786107278 , < * (rpm)
    cpe:/a:redhat:openshift_ai:3.4::el9
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Red Hat Red Hat OpenShift AI (RHOAI)     cpe:/a:redhat:openshift_ai
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Date Public
2026-08-10 18:51
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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