# Red Hat OpenShift AI vulnerabilities Source: https://junglewise.ai/threats/technologies/openshift-ai-rhoai Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats Updated: 13 November 2026, 03:07 UTC. Rebuilt every hour. Data: https://junglewise.ai/threats/technologies/openshift-ai-rhoai.json License: CC BY 4.0 with a link back Junglewise Threat Intelligence has tracked 18 vulnerabilities in Red Hat OpenShift AI: 2 in the last 7 days and 4 in the last 90 days, 5 of them critical and 0 exploited in the wild. The most recent, CVE-2026-83495, was published on 7 November 2026. 4 vulnerabilities in the last four weeks, up from none in the four before. 1 critical against 0. ## Counts - Last 7 days: 2 - Last 30 days: 4 - Last 90 days: 4 - All time: 18 (5 critical, 0 exploited in the wild) ## About Red Hat OpenShift AI OpenShift AI is Red Hat's platform for building and deploying AI/ML applications on Kubernetes. ## Latest Red Hat OpenShift AI vulnerabilities - [CVE-2026-83495: Red Hat Trainer v2 TrainJob API secret injection privilege escalation](https://junglewise.ai/threats/cve-2026-83495-a-flaw-was-found-in-the-trainer-v2-trainjob-api-a-user-with) (info, published 7 Nov 2026) - [CVE-2026-83494: Red Hat training-operator immutability bypass in PyTorchJob webhook](https://junglewise.ai/threats/cve-2026-83494-a-flaw-was-found-in-the-training-operator-an-incorrect-object) (info, published 6 Nov 2026) - [CVE-2026-117574: Red Hat OpenShift AI credential injection across tenant boundaries](https://junglewise.ai/threats/cve-2026-117574-a-flaw-was-found-in-ai-gateway-payload-processing-an) (critical, CVSS 9.1, published 28 Oct 2026) - [CVE-2026-17557: Red Hat OpenShift AI lm-evaluation-harness SSRF with credential disclosure](https://junglewise.ai/threats/cve-2026-17557-a-flaw-was-found-in-the-lm-evaluation-harness-component-of-red) (medium, CVSS 6.5, published 21 Oct 2026) - [CVE-2026-15154: Red Hat OpenShift AI ReDoS in guardrails-detectors](https://junglewise.ai/threats/cve-2026-15154-red-hat-openshift-ai-redos-in-guardrails-detectors) (medium, CVSS 6.5, published 8 Jul 2026) - [CVE-2026-15044: Red Hat TrustyAI Service Operator unauthenticated access in AI APIs](https://junglewise.ai/threats/cve-2026-15044-red-hat-trustyai-service-operator-unauthenticated-access-in-ai) (medium, CVSS 6.3, published 8 Jul 2026) - [CVE-2026-31230: Trusted-AI Adversarial Robustness Toolbox code injection in Kubeflow component](https://junglewise.ai/threats/cve-2026-31230-trusted-ai-adversarial-robustness-toolbox-code-injection-in) (critical, CVSS 9.8, published 12 May 2026) - [CVE-2026-6587: vibrantlabsai RAGAS SSRF in Collections Module](https://junglewise.ai/threats/cve-2026-6587-vibrantlabsai-ragas-ssrf-in-collections-module) (medium, CVSS 6.3, published 20 Apr 2026) - [CVE-2026-27489: ONNX path traversal via symlink in external data handling](https://junglewise.ai/threats/cve-2026-27489-onnx-path-traversal-via-symlink-in-external-data-handling) (high, CVSS 7.5, published 1 Apr 2026) - [CVE-2025-15379: MLflow command injection in model serving container initialization](https://junglewise.ai/threats/cve-2025-15379-mlflow-command-injection-in-model-serving-container) (critical, CVSS 9.8, published 30 Mar 2026) - [CVE-2025-15036: MLflow path traversal in extract_archive_to_dir](https://junglewise.ai/threats/cve-2025-15036-mlflow-path-traversal-in-extract-archive-to-dir) (critical, CVSS 10, published 30 Mar 2026) - [CVE-2025-15381: MLflow authorization bypass in tracing and assessment endpoints](https://junglewise.ai/threats/cve-2025-15381-mlflow-authorization-bypass-in-tracing-and-assessment-endpoints) (high, CVSS 7.1, published 27 Mar 2026) - [CVE-2026-23536: Feast Feature Server path traversal in /read-document endpoint](https://junglewise.ai/threats/cve-2026-23536-feast-feature-server-path-traversal-in-read-document-endpoint) (high, CVSS 7.5, published 20 Mar 2026) - [CVE-2025-15031: MLflow path traversal in pyfunc extraction](https://junglewise.ai/threats/cve-2025-15031-mlflow-path-traversal-in-pyfunc-extraction) (critical, CVSS 9.1, published 18 Mar 2026) - [CVE-2025-14287: MLflow command injection in SageMaker container parameter](https://junglewise.ai/threats/cve-2025-14287-mlflow-command-injection-in-sagemaker-container-parameter) (high, CVSS 8.8, published 16 Mar 2026) - [CVE-2026-2635: MLflow authentication bypass via hard-coded default credentials](https://junglewise.ai/threats/cve-2026-2635-mlflow-authentication-bypass-via-hard-coded-default-credentials) (high, CVSS 7.3, published 20 Feb 2026) - [CVE-2026-1669: Google Keras arbitrary file read in HDF5 model loading](https://junglewise.ai/threats/cve-2026-1669-google-keras-arbitrary-file-read-in-hdf5-model-loading) (high, CVSS 7.5, published 11 Feb 2026) - [CVE-2025-15514: Ollama null pointer dereference in multi-modal image processing](https://junglewise.ai/threats/cve-2025-15514-ollama-null-pointer-dereference-in-multi-modal-image-processing) (high, CVSS 7.5, published 12 Jan 2026) ## Most severe Red Hat OpenShift AI vulnerabilities - [CVE-2025-15036: MLflow path traversal in extract_archive_to_dir](https://junglewise.ai/threats/cve-2025-15036-mlflow-path-traversal-in-extract-archive-to-dir) (critical, CVSS 10, published 30 Mar 2026) - [CVE-2025-15379: MLflow command injection in model serving container initialization](https://junglewise.ai/threats/cve-2025-15379-mlflow-command-injection-in-model-serving-container) (critical, CVSS 9.8, published 30 Mar 2026) - [CVE-2026-31230: Trusted-AI Adversarial Robustness Toolbox code injection in Kubeflow component](https://junglewise.ai/threats/cve-2026-31230-trusted-ai-adversarial-robustness-toolbox-code-injection-in) (critical, CVSS 9.8, published 12 May 2026) - [CVE-2025-15031: MLflow path traversal in pyfunc extraction](https://junglewise.ai/threats/cve-2025-15031-mlflow-path-traversal-in-pyfunc-extraction) (critical, CVSS 9.1, published 18 Mar 2026) - [CVE-2026-117574: Red Hat OpenShift AI credential injection across tenant boundaries](https://junglewise.ai/threats/cve-2026-117574-a-flaw-was-found-in-ai-gateway-payload-processing-an) (critical, CVSS 9.1, published 28 Oct 2026) - [CVE-2025-14287: MLflow command injection in SageMaker container parameter](https://junglewise.ai/threats/cve-2025-14287-mlflow-command-injection-in-sagemaker-container-parameter) (high, CVSS 8.8, published 16 Mar 2026) - [CVE-2026-23536: Feast Feature Server path traversal in /read-document endpoint](https://junglewise.ai/threats/cve-2026-23536-feast-feature-server-path-traversal-in-read-document-endpoint) (high, CVSS 7.5, published 20 Mar 2026) - [CVE-2025-15514: Ollama null pointer dereference in multi-modal image processing](https://junglewise.ai/threats/cve-2025-15514-ollama-null-pointer-dereference-in-multi-modal-image-processing) (high, CVSS 7.5, published 12 Jan 2026) - [CVE-2026-27489: ONNX path traversal via symlink in external data handling](https://junglewise.ai/threats/cve-2026-27489-onnx-path-traversal-via-symlink-in-external-data-handling) (high, CVSS 7.5, published 1 Apr 2026) - [CVE-2026-1669: Google Keras arbitrary file read in HDF5 model loading](https://junglewise.ai/threats/cve-2026-1669-google-keras-arbitrary-file-read-in-hdf5-model-loading) (high, CVSS 7.5, published 11 Feb 2026) ## Vulnerabilities per week 4 vulnerabilities in the last four weeks, up from none in the four before. 1 critical against 0. | Week of | Vulns | Critical | Exploited | | --- | --- | --- | --- | | 17 Aug 2026 | 0 | 0 | 0 | | 24 Aug 2026 | 0 | 0 | 0 | | 31 Aug 2026 | 0 | 0 | 0 | | 7 Sep 2026 | 0 | 0 | 0 | | 14 Sep 2026 | 0 | 0 | 0 | | 21 Sep 2026 | 0 | 0 | 0 | | 28 Sep 2026 | 0 | 0 | 0 | | 5 Oct 2026 | 0 | 0 | 0 | | 12 Oct 2026 | 0 | 0 | 0 | | 19 Oct 2026 | 1 | 0 | 0 | | 26 Oct 2026 | 1 | 1 | 0 | | 2 Nov 2026 | 2 | 0 | 0 | | 9 Nov 2026 | 0 | 0 | 0 | ## Other Red Hat technologies - [Red Hat Enterprise Linux 9](https://junglewise.ai/threats/technologies/enterprise-linux-9): 146 vulnerabilities - [Red Hat Enterprise Linux 10](https://junglewise.ai/threats/technologies/enterprise-linux-10): 140 vulnerabilities - [Red Hat Enterprise Linux 8](https://junglewise.ai/threats/technologies/enterprise-linux-8): 132 vulnerabilities - [Red Hat Keycloak](https://junglewise.ai/threats/technologies/red-hat-keycloak): 102 vulnerabilities - [Red Hat Enterprise Linux 7](https://junglewise.ai/threats/technologies/enterprise-linux-7): 68 vulnerabilities - [Red Hat Enterprise Linux 6](https://junglewise.ai/threats/technologies/enterprise-linux-6): 56 vulnerabilities - [Red Hat Build of Keycloak](https://junglewise.ai/threats/technologies/red-hat-build-of-keycloak): 55 vulnerabilities - [Red Hat Enterprise Linux AppStream](https://junglewise.ai/threats/technologies/enterprise-linux-appstream): 46 vulnerabilities - [Red Hat Ansible Automation Platform](https://junglewise.ai/threats/technologies/ansible-automation-platform-2): 44 vulnerabilities - [Red Hat OpenShift Container Platform 4](https://junglewise.ai/threats/technologies/openshift-container-platform-4): 36 vulnerabilities - [Red Hat Developer Hub](https://junglewise.ai/threats/technologies/developer-hub): 28 vulnerabilities - [Red Hat Quay](https://junglewise.ai/threats/technologies/quay-3-12): 20 vulnerabilities ## Sources NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories. Rebuilt every hour. Cite as: Junglewise Threat Intelligence, "Red Hat OpenShift AI vulnerabilities", https://junglewise.ai/threats/technologies/openshift-ai-rhoai, 13 November 2026.