Threats Tagged 'cve-2026-18950'
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Threats Tagged 'cve-2026-18950'
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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. Join the discussion | GCVE Database | 08/11/2026, 04:32:58 UTC Added: 08/12/2026, 16:12:35 UTC |
A flaw was found in odh-dashboard. An authenticated user of the dashboard can exploit a vulnerability related to how RoleBindings are created. The system does not properly validate the `roleRef` field, allowing a user to specify an arbitrary role, including highly privileged ones like `cluster-admin`. This can lead to privilege escalation, where an attacker gains unauthorized elevated access within their namespace and potentially persistent control over the system. Join the discussion | GCVE Database | 08/10/2026, 20:45:05 UTC Added: 08/12/2026, 16:12:35 UTC |
A flaw was found in odh-dashboard. An authenticated user of the dashboard can exploit a vulnerability related to how RoleBindings are created. The system does not properly validate the `roleRef` field, allowing a user to specify an arbitrary role, including highly privileged ones like `cluster-admin`. This can lead to privilege escalation, where an attacker gains unauthorized elevated access within their namespace and potentially persistent control over the system. Join the discussion | CVE Database V5 | 08/10/2026, 20:45:05 UTC Added: 08/10/2026, 20:56:54 UTC |
0 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. Join the discussion | GCVE Database | 07/08/2026, 21:30:27 UTC Added: 08/12/2026, 16:12:45 UTC |
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