{ "dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": { "cveId": "CVE-2025-57735", "assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09", "state": "PUBLISHED", "assignerShortName": "apache", "dateReserved": "2025-08-18T21:00:19.983Z", "datePublished": "2026-04-09T11:12:41.735Z", "dateUpdated": "2026-04-09T17:25:08.801Z" }, "containers": { "cna": { "affected": [ { "collectionURL": "https://pypi.python.org", "defaultStatus": "unaffected", "packageName": "apache-airflow", "product": "Apache Airflow", "vendor": "Apache Software Foundation", "versions": [ { "lessThan": "3.2.0", "status": "affected", "version": "3.0.0", "versionType": "semver" } ] } ], "credits": [ { "lang": "en", "type": "finder", "value": "Saurabh Banawar" }, { "lang": "en", "type": "remediation developer", "value": "Anish Giri" }, { "lang": "en", "type": "remediation developer", "value": "vincent beck" } ], "descriptions": [ { "lang": "en", "supportingMedia": [ { "base64": false, "type": "text/html", "value": "
When user logged out, the JWT token the user had authtenticated with was not invalidated, which could lead to reuse of that token in case it was intercepted. In Airflow 3.2 we implemented the mechanism that implements token invalidation at logout. Users who are concerned about the logout scenario and possibility of intercepting the tokens, should upgrade to Airflow 3.2+