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          "vendor": "Apache Software Foundation",
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              "versionType": "semver"
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      "credits": [
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          "type": "finder",
          "value": "Jan Kahmen (turingpoint), GitHub: @kah-ja"
        },
        {
          "lang": "en",
          "type": "remediation developer",
          "value": "Jarek Potiuk"
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              "value": "Apache Airflow\u0026#x27;s serialization layer reconstructed exception nodes by calling `import_string()` on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. An operator\u0026#x27;s `executor_config` reaches that branch, so a Dag author could place a value there that causes an arbitrary callable to be imported and invoked -- for example `subprocess.check_output`, or `builtins.eval` on the `builtins`-prefixed variant. The code runs in the **Scheduler**, which reconstructs serialized Dags in its normal loop with no request involved, and in the **API server**, on any authenticated read of the Dag such as `GET /api/v2/dags/{dag_id}/details`. Both are components the Airflow security model states must never execute Dag-author code, and both hold the metadata database credentials and the JWT signing secret. No non-default configuration is required. This is a **different sink from CVE-2026-33264**, which covered only the trigger branch of the same deserializer: deployments that upgraded in response to that advisory are still affected through the exception branch and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later, which restricts the imported class to a subclass of `BaseException`."
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          "value": "Apache Airflow\u0027s serialization layer reconstructed exception nodes by calling `import_string()` on a class name taken from the serialized blob and instantiating it with arguments from the same blob, with no restriction on what could be imported. An operator\u0027s `executor_config` reaches that branch, so a Dag author could place a value there that causes an arbitrary callable to be imported and invoked -- for example `subprocess.check_output`, or `builtins.eval` on the `builtins`-prefixed variant. The code runs in the **Scheduler**, which reconstructs serialized Dags in its normal loop with no request involved, and in the **API server**, on any authenticated read of the Dag such as `GET /api/v2/dags/{dag_id}/details`. Both are components the Airflow security model states must never execute Dag-author code, and both hold the metadata database credentials and the JWT signing secret. No non-default configuration is required. This is a **different sink from CVE-2026-33264**, which covered only the trigger branch of the same deserializer: deployments that upgraded in response to that advisory are still affected through the exception branch and must upgrade again. Users are advised to upgrade to apache-airflow 3.3.1 or later, which restricts the imported class to a subclass of `BaseException`."
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      "metrics": [
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            {
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              "description": "CWE-502: Deserialization of Untrusted Data",
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              "type": "CWE"
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      "providerMetadata": {
        "dateUpdated": "2026-08-12T16:25:52.119Z",
        "orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
        "shortName": "apache"
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          "tags": [
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          "url": "https://github.com/apache/airflow/pull/68511"
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          "url": "https://www.cve.org/CVERecord?id=CVE-2026-33264"
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          "url": "https://lists.apache.org/thread/t81p688t15jozxsng8521o60nh2kfsos"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Apache Airflow: Unguarded import_string() of airflow_exc_ser / base_exc_ser exception nodes in BaseSerialization.deserialize enables DAG-author RCE on Scheduler / API Server",
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        "engine": "airflow-s/generate_cve_json.py"
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  "cveMetadata": {
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    "assignerShortName": "apache",
    "cveId": "CVE-2026-58076",
    "datePublished": "2026-08-12T15:40:59.934Z",
    "dateReserved": "2026-06-28T15:16:00.339Z",
    "dateUpdated": "2026-08-12T16:25:52.119Z",
    "state": "PUBLISHED"
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