{
  "threat_severity" : "Important",
  "public_date" : "2026-04-03T17:03:12Z",
  "bugzilla" : {
    "description" : "mlflow/mlflow: mlflow/mlflow: Unauthenticated remote code execution via unprotected job endpoints",
    "id" : "2454889",
    "url" : "https://bugzilla.redhat.com/show_bug.cgi?id=2454889"
  },
  "cvss3" : {
    "cvss3_base_score" : "8.1",
    "cvss3_scoring_vector" : "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
    "status" : "draft"
  },
  "cwe" : "CWE-306",
  "details" : [ "In mlflow/mlflow, the FastAPI job endpoints under `/ajax-api/3.0/jobs/*` are not protected by authentication or authorization when the `basic-auth` app is enabled. This vulnerability affects the latest version of the repository. If job execution is enabled (`MLFLOW_SERVER_ENABLE_JOB_EXECUTION=true`) and any job function is allowlisted, any network client can submit, read, search, and cancel jobs without credentials, bypassing basic-auth entirely. This can lead to unauthenticated remote code execution if allowed jobs perform privileged actions such as shell execution or filesystem changes. Even if jobs are deemed safe, this still constitutes an authentication bypass, potentially resulting in job spam, denial of service (DoS), or data exposure in job results.", "A flaw was found in mlflow/mlflow. When the `basic-auth` application is enabled, the FastAPI job endpoints are not protected by authentication or authorization. A remote attacker can exploit this by sending requests to these endpoints, bypassing security measures entirely. This can lead to unauthenticated remote code execution if allowed jobs perform privileged actions, or potentially result in job spam, denial of service (DoS), or data exposure." ],
  "package_state" : [ {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Not affected",
    "package_name" : "rhoai/odh-mlflow-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Not affected",
    "package_name" : "rhoai/odh-th06-cpu-torch210-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Not affected",
    "package_name" : "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Not affected",
    "package_name" : "rhoai/odh-th06-rocm64-torch291-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Not affected",
    "package_name" : "rhoai/odh-training-cuda128-torch29-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  }, {
    "product_name" : "Red Hat OpenShift AI (RHOAI)",
    "fix_state" : "Affected",
    "package_name" : "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9",
    "cpe" : "cpe:/a:redhat:openshift_ai"
  } ],
  "references" : [ "https://www.cve.org/CVERecord?id=CVE-2026-0545\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-0545\nhttps://huntr.com/bounties/b2e5b028-9541-4d29-8703-a76f1a3734d8" ],
  "name" : "CVE-2026-0545",
  "mitigation" : {
    "value" : "To mitigate this issue, disable job execution on the MLflow server by setting the `MLFLOW_SERVER_ENABLE_JOB_EXECUTION` environment variable to `false`. This prevents unauthenticated access to job endpoints.\nExample:\n`MLFLOW_SERVER_ENABLE_JOB_EXECUTION=false mlflow server`\nIf configured as a service, update the service definition to include this environment variable. A restart of the MLflow server is required for the change to take effect.",
    "lang" : "en:us"
  },
  "csaw" : false
}