Threats Tagged 'cve-2026-18941'

Red Hat OpenShift AI version 3.4.3 addresses multiple security issues identified by CVE-2026-13717 and others. The advisory announces updated images for Red Hat OpenShift AI to mitigate these vulnerabilities. The update is critical and users are advised to upgrade their clusters following Red Hat's official documentation. No specific technical details or exploit information are provided in the advisory.

A security flaw was identified in Feast and feast-operator where the default configuration uses "no_auth," allowing unauthenticated and unauthorized access to key Feast service endpoints. This vulnerability enables remote attackers to execute arbitrary code by uploading malicious user-defined functions, cause denial of service by forcing re-materialization of tenant features, and access data across tenants without authorization. The vulnerability is tracked as CVE-2026-18941 with a high severity score of 7.7. Red Hat has acknowledged this issue in their advisories related to Red Hat OpenShift AI but has not yet provided a fix. Users are advised to follow vendor guidance for mitigation and monitor updates for patches.

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.

A Regular Expression Denial of Service (ReDoS) vulnerability (CVE-2026-15154) was found in guardrails-detectors, a component of Red Hat OpenShift AI. This flaw allows a remote attacker to send specially crafted regular expressions to the public detection API, causing catastrophic backtracking. The result is a worker process consuming 100% CPU indefinitely, leading to denial of service for the guardrails-mediated large language model (LLM) pipeline. The vulnerability affects specific versions of Red Hat OpenShift AI and has a medium severity rating with a CVSS score of 6.5. Updated images and a fixed version 2.25.10 are available from Red Hat to address this issue.