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            "red_hat_openshift_ai_(rhoai):rhoai/odh-mlflow-rhel9"
          ]
        }
      ],
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2469309"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in mlflow. An unauthenticated remote attacker can exploit a vulnerability in the `_create_model_version()` handler by including a specific tag, `mlflow.prompt.is_prompt`, in a `CreateModelVersion` request. This bypasses source path validation, allowing the attacker to specify an arbitrary local filesystem path as the model version source. Subsequently, the `get_model_version_artifact_handler()` function serves files from this unverified source, leading to the disclosure of arbitrary files from the server's filesystem and a complete confidentiality compromise.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "mlflow: mlflow: Arbitrary file read via bypassed source path validation",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "This Important vulnerability in mlflow allows an unauthenticated remote attacker to read arbitrary files from the server's filesystem. The flaw exists in the `_create_model_version()` handler, where a specially crafted request with the `mlflow.prompt.is_prompt` tag bypasses source path validation. This enables an attacker to specify an arbitrary local filesystem path, leading to complete confidentiality compromise within Red Hat OpenShift AI environments.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product's status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
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        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2026-2614"
        },
        {
          "category": "external",
          "summary": "RHBZ#2469309",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2469309"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2026-2614",
          "url": "https://www.cve.org/CVERecord?id=CVE-2026-2614"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-2614",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-2614"
        },
        {
          "category": "external",
          "summary": "https://github.com/mlflow/mlflow/commit/6e801f4259d96804c73107315b24cef0f6aa115a",
          "url": "https://github.com/mlflow/mlflow/commit/6e801f4259d96804c73107315b24cef0f6aa115a"
        },
        {
          "category": "external",
          "summary": "https://huntr.com/bounties/19380271-3fbf-4beb-987e-6fd7069c55e6",
          "url": "https://huntr.com/bounties/19380271-3fbf-4beb-987e-6fd7069c55e6"
        }
      ],
      "release_date": "2026-05-11T19:02:46.025000+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2026-07-09T11:57:58+00:00",
          "details": "For Red Hat OpenShift AI 3.3.5 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update:\n\nhttps://docs.redhat.com/en/documentation/red_hat_openshift_ai/",
          "product_ids": [
            "Red Hat OpenShift AI 3.3:registry.redhat.io/rhoai/odh-training-cuda128-torch29-py312-rhel9@sha256:2300bbd398742940737a7ac3bc337a81c3300ee3a362e246acf94ea543e5186a_amd64"
          ],
          "url": "https://access.redhat.com/errata/RHSA-2026:37275"
        },
        {
          "category": "vendor_fix",
          "date": "2026-07-01T18:20:13+00:00",
          "details": "For Red Hat OpenShift AI 3.4.2 see the following documentation, which will be updated shortly for this release, for important instructions on how to upgrade your cluster and fully apply this errata update:\n\nhttps://docs.redhat.com/en/documentation/red_hat_openshift_ai/",
          "product_ids": [
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            "Red Hat OpenShift AI 3.4:registry.redhat.io/rhoai/odh-th06-cuda130-torch210-py312-rhel9@sha256:a78b8ef6f9175d30f314c13c0503775d1f06c6de1fde7d67abfccbd18550f504_arm64",
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          ],
          "url": "https://access.redhat.com/errata/RHSA-2026:34456"
        },
        {
          "category": "workaround",
          "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.",
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            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9"
          ]
        },
        {
          "category": "none_available",
          "details": "Affected",
          "product_ids": [
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
          },
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            "red_hat_openshift_ai_(rhoai):rhoai/odh-mlflow-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
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            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
            "red_hat_openshift_ai_(rhoai):rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9"
          ]
        }
      ],
      "title": "mlflow: mlflow: Arbitrary file read via bypassed source path validation"
    }
  ]
}