{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-18951 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-18951 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-18951 is a high-severity missing authorization vulnerability in Red Hat OpenShift AI 3.3, published on 10 Aug 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-18951 and fix it if it is affected.\n\nWhat it is: CVE-2026-18951 is a high-severity missing authorization vulnerability in Red Hat OpenShift AI 3.3, published on 10 Aug 2026. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-18951 in the wild and no public exploit code.\n\nAffected product: Red Hat OpenShift AI 3.3. No package-level version data is available, so check the vendor advisory linked from the reference page.\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-18951/ (Markdown: https://insights.sbomify.com/CVE-2026-18951/index.md)","id":"CVE-2026-18951","markdown":"https://insights.sbomify.com/CVE-2026-18951/index.md","name":"CVE-2026-18951","record":{"aliases":["GHSA-h7xh-qc2m-rc58"],"analysis":{"component_type":"cloud_service","fix_type":"patch","impacts":["privilege_escalation","code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"OpenShift AI training operator","requires_auth":"low_privilege","summary":"Users with edit permissions can manage TrainJobs, enabling privilege escalation and code execution when combined with pod configuration flaws.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"redhat","cpe":[],"cvss":{"score":8.8,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-284","name":"Improper Access Control"},{"id":"CWE-267","name":"Privilege Defined With Unsafe Actions"}],"description":"A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"Missing authorization in Red Hat OpenShift AI 3.3","id":"CVE-2026-18951","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"missing_authorization","year":"2026"},"n_packages":0,"n_references":7,"next":{"headline":"Missing Input Validation in Threat Intel Feed Parser in OpenSearch Security Analytics Plugin","id":"CVE-2026-18952"},"packages":[],"prev":{"headline":"Odh-dashboard: odh-dashboard: confused-deputy privilege escalation via unchecked roleref in rolebinding creation","id":"CVE-2026-18950"},"products":["Red Hat OpenShift AI 3.3","Red Hat OpenShift AI 3.4","Red Hat OpenShift AI 3.5"],"published":"2026-08-10","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-09-30","vendors":["Red Hat"]},"summary":"Users with edit permissions can manage TrainJobs, enabling privilege escalation and code execution when combined with pod configuration flaws.","url":"https://insights.sbomify.com/CVE-2026-18951/"}