{
  "containers": {
    "cna": {
      "providerMetadata": {
        "orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09"
      },
      "title": "Log server JWT authorization bypass via Python lstrip() character stripping allows cross-Dag log access",
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "CWE-863: Incorrect Authorization",
              "lang": "en",
              "cweId": "CWE-863",
              "type": "CWE"
            }
          ]
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "affected": [
        {
          "vendor": "Apache Software Foundation",
          "product": "Apache Airflow",
          "collectionURL": "https://pypi.python.org",
          "packageName": "apache-airflow",
          "versions": [
            {
              "status": "affected",
              "version": "3.0.0",
              "lessThan": "3.2.2",
              "versionType": "semver"
            }
          ],
          "defaultStatus": "unaffected"
        }
      ],
      "descriptions": [
        {
          "value": "Exploitation requires the attacker to already be an authenticated Airflow worker holding a valid Log-server JWT issued for at least one Dag. Apache Airflow's Log server authorized JWT tokens against Dag IDs by applying Python's `str.lstrip()` to the requested path segment when verifying the JWT's `sub` claim. `str.lstrip()` strips any of a *set* of characters from the left (not a prefix), so a JWT issued for a Dag named e.g. `dag_a` would authorize log access to any other Dag whose name began with any subset of the characters `{d, a, g, _}` (e.g. `dag_attacker`, `aaaa_target`, `_dag_secret`). Such an authenticated worker could enumerate and read worker logs of other Dags whose names happened to share that character-class prefix, leaking task output and error traces beyond the documented per-Dag isolation boundary. Affects deployments relying on per-Dag log-access scoping (multi-team, shared-executor, shared-worker topologies). Users are advised to upgrade to `apache-airflow` 3.2.2 or later.",
          "lang": "en",
          "supportingMedia": [
            {
              "type": "text/html",
              "base64": false,
              "value": "Exploitation requires the attacker to already be an authenticated Airflow worker holding a valid Log-server JWT issued for at least one Dag. Apache Airflow's Log server authorized JWT tokens against Dag IDs by applying Python's `str.lstrip()` to the requested path segment when verifying the JWT's `sub` claim. `str.lstrip()` strips any of a *set* of characters from the left (not a prefix), so a JWT issued for a Dag named e.g. `dag_a` would authorize log access to any other Dag whose name began with any subset of the characters `{d, a, g, _}` (e.g. `dag_attacker`, `aaaa_target`, `_dag_secret`). Such an authenticated worker could enumerate and read worker logs of other Dags whose names happened to share that character-class prefix, leaking task output and error traces beyond the documented per-Dag isolation boundary. Affects deployments relying on per-Dag log-access scoping (multi-team, shared-executor, shared-worker topologies). Users are advised to upgrade to `apache-airflow` 3.2.2 or later."
            }
          ]
        }
      ],
      "references": [
        {
          "url": "https://github.com/apache/airflow/pull/66749",
          "tags": [
            "patch"
          ]
        },
        {
          "url": "https://lists.apache.org/thread/hz1q7vg65vq2h4fobv5ww8tp257fbqj9",
          "tags": [
            "vendor-advisory"
          ]
        }
      ],
      "metrics": [
        {
          "other": {
            "type": "Textual description of severity",
            "content": {
              "text": "low"
            }
          }
        }
      ],
      "credits": [
        {
          "lang": "en",
          "value": "Michael Lip (theluckystrike)",
          "type": "finder"
        },
        {
          "lang": "en",
          "value": "Jarek Potiuk (@potiuk)",
          "type": "remediation developer"
        }
      ],
      "x_generator": {
        "engine": "airflow-s/generate_cve_json.py"
      }
    }
  },
  "cveMetadata": {
    "cveId": "CVE-2026-45426",
    "assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
    "serial": 1,
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}