{"schema_version":"1.7.5","id":"GHSA-5jqp-qgf6-3pvh","published":"2021-05-13T20:23:17Z","modified":"2026-07-08T06:29:37.051969770Z","aliases":["CVE-2021-29510","PYSEC-2021-47"],"summary":"Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic","details":"Impact\n\nPassing either 'infinity', 'inf' or float('inf') (or their negatives) to datetime or date fields causes validation to run forever with 100% CPU usage (on one CPU).\nPatches\n\nPydantic is be patched with fixes available in the following versions:\n\n    v1.8.2\n    v1.7.4\n    v1.6.2\n\nAll these versions are available on pypi, and will be available on conda-forge soon.\n\nSee the changelog for details.\nWorkarounds\n\nIf you absolutely can't upgrade, you can work around this risk using a validator to catch these values, brief demo:\n\nfrom datetime import date\nfrom pydantic import BaseModel, validator\n\nclass DemoModel(BaseModel):\n    date_of_birth: date\n\n    @validator('date_of_birth', pre=True)\n    def skip_infinite_values(cls, v):\n        try:\n            seconds = float(v)\n        except (ValueError, TypeError):\n            return v\n        else:\n            if seconds == float('inf'):\n                return date.max\n            elif seconds == float('-inf'):\n                return date.min\n            else:\n                return seconds\n\nNote: this is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic.\n\nIf you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.\nReferences\n\nThis was fixed in commit 7e83fdd.","affected":[{"package":{"name":"pydantic","ecosystem":"PyPI","purl":"pkg:pypi/pydantic"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.2"}]}],"versions":["0.0.1","0.0.2","0.0.3","0.0.4","0.0.5","0.0.6","0.0.7","0.0.8","0.1","0.10","0.11","0.11.1","0.11.2","0.12","0.12.1","0.13","0.13.1","0.14","0.15","0.16","0.16.1","0.17","0.18","0.18.1","0.18.2","0.19","0.2","0.2.1","0.20","0.20.1","0.20a1","0.21","0.22","0.23","0.24","0.25","0.26","0.27","0.27a1","0.28","0.29","0.3","0.30","0.30.1","0.31","0.31.1","0.32","0.32.1","0.32.2","0.4","0.5","0.6","0.6.1","0.6.2","0.6.3","0.6.4","0.7","0.7.1","0.8","0.9","0.9.1","1.0","1.0b1","1.0b2","1.1","1.1.1","1.2","1.3","1.4","1.5","1.5.1","1.6","1.6.1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-5jqp-qgf6-3pvh/GHSA-5jqp-qgf6-3pvh.json"}},{"package":{"name":"pydantic","ecosystem":"PyPI","purl":"pkg:pypi/pydantic"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.8"},{"fixed":"1.8.2"}]}],"versions":["1.8","1.8.1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-5jqp-qgf6-3pvh/GHSA-5jqp-qgf6-3pvh.json"}},{"package":{"name":"pydantic","ecosystem":"PyPI","purl":"pkg:pypi/pydantic"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.7"},{"fixed":"1.7.4"}]}],"versions":["1.7","1.7.1","1.7.2","1.7.3"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-5jqp-qgf6-3pvh/GHSA-5jqp-qgf6-3pvh.json"}}],"references":[{"type":"WEB","url":"https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2021-29510"},{"type":"WEB","url":"https://github.com/pydantic/pydantic/commit/1c24f1d74ba95ea985b50bdc001ce96c813229aa"},{"type":"WEB","url":"https://github.com/pydantic/pydantic/commit/80e0dd3f752bef145dce12f160d262bb40ec8d47"},{"type":"WEB","url":"https://github.com/pydantic/pydantic/commit/bdde15b7b947c94ca00fd6eb92da8db390a13520"},{"type":"WEB","url":"https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468"},{"type":"PACKAGE","url":"https://github.com/pydantic/pydantic"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/pydantic/PYSEC-2021-47.yaml"},{"type":"WEB","url":"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB"},{"type":"WEB","url":"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB"},{"type":"WEB","url":"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV"}],"database_specific":{"cwe_ids":["CWE-835"],"github_reviewed":true,"github_reviewed_at":"2021-05-13T18:54:35Z","nvd_published_at":"2021-05-13T19:15:00Z","severity":"MODERATE"},"severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L"},{"type":"CVSS_V4","score":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N"}]}