{"id":"CVE-2025-0453","aliases":["BIT-mlflow-2025-0453","GHSA-49m6-vrr9-2cqm","PYSEC-2026-1637"],"url":"https://o3.security/vulnerability/CVE-2025-0453","summary":"Denial of Service through Batched Queries in GraphQL in mlflow/mlflow","details":"In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.","published":"2025-03-20T10:11:02.779Z","modified":"2026-08-07T11:31:20.652466531Z","cvss":{"score":5.9,"severity":"MEDIUM","vector":"CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H"},"epss":null,"cisaKev":null,"exploitsKnown":0,"affectedPackages":[{"ecosystem":"PyPI","name":"mlflow","fixedVersion":null}],"fix":null,"references":[{"type":"WEB","url":"https://huntr.com/bounties/788327ec-714a-4d5c-83aa-8df04dd7612b"},{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/0xxx/CVE-2025-0453.json"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2025-0453"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-08-07T11:31:20.652466531Z"}}