{"containers": {"cna": {"affected": [{"product": "pydantic", "vendor": "samuelcolvin", "versions": [{"status": "affected", "version": ">= 1.8.0, < 1.8.2"}, {"status": "affected", "version": ">= 1.7.0, < 1.7.4"}, {"status": "affected", "version": "< 1.6.2"}]}], "descriptions": [{"lang": "en", "value": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing 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). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. 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. If 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 at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic."}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "LOW", "baseScore": 3.3, "baseSeverity": "LOW", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L", "version": "3.1"}}], "problemTypes": [{"descriptions": [{"cweId": "CWE-835", "description": "CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop')", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"dateUpdated": "2021-05-23T02:06:14.000Z", "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M"}, "references": [{"tags": ["x_refsource_CONFIRM"], "url": "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh"}, {"tags": ["x_refsource_MISC"], "url": "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468"}, {"name": "FEDORA-2021-f8bb3ba3ec", "tags": ["vendor-advisory", "x_refsource_FEDORA"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/"}, {"name": "FEDORA-2021-4d3de3183f", "tags": ["vendor-advisory", "x_refsource_FEDORA"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/"}, {"name": "FEDORA-2021-e7fabd81fb", "tags": ["vendor-advisory", "x_refsource_FEDORA"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/"}], "source": {"advisory": "GHSA-5jqp-qgf6-3pvh", "discovery": "UNKNOWN"}, "title": "Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic", "x_legacyV4Record": {"CVE_data_meta": {"ASSIGNER": "security-advisories@github.com", "ID": "CVE-2021-29510", "STATE": "PUBLIC", "TITLE": "Use of \"infinity\" as an input to datetime and date fields causes infinite loop in pydantic"}, "affects": {"vendor": {"vendor_data": [{"product": {"product_data": [{"product_name": "pydantic", "version": {"version_data": [{"version_value": ">= 1.8.0, < 1.8.2"}, {"version_value": ">= 1.7.0, < 1.7.4"}, {"version_value": "< 1.6.2"}]}}]}, "vendor_name": "samuelcolvin"}]}}, "data_format": "MITRE", "data_type": "CVE", "data_version": "4.0", "description": {"description_data": [{"lang": "eng", "value": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing 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). Pydantic has been patched with fixes available in the following versions: v1.8.2, v1.7.4, v1.6.2. All these versions are available on pypi(https://pypi.org/project/pydantic/#history), and will be available on conda-forge(https://anaconda.org/conda-forge/pydantic) soon. See the changelog(https://pydantic-docs.helpmanual.io/) for details. If you absolutely can't upgrade, you can work around this risk using a validator(https://pydantic-docs.helpmanual.io/usage/validators/) to catch these values. 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. If 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 at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic."}]}, "impact": {"cvss": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "LOW", "baseScore": 3.3, "baseSeverity": "LOW", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L", "version": "3.1"}}, "problemtype": {"problemtype_data": [{"description": [{"lang": "eng", "value": "CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop')"}]}]}, "references": {"reference_data": [{"name": "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh", "refsource": "CONFIRM", "url": "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh"}, {"name": "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468", "refsource": "MISC", "url": "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468"}, {"name": "FEDORA-2021-f8bb3ba3ec", "refsource": "FEDORA", "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/"}, {"name": "FEDORA-2021-4d3de3183f", "refsource": "FEDORA", "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/"}, {"name": "FEDORA-2021-e7fabd81fb", "refsource": "FEDORA", "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/"}]}, "source": {"advisory": "GHSA-5jqp-qgf6-3pvh", "discovery": "UNKNOWN"}}}, "adp": [{"providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-03T22:11:05.442Z"}, "title": "CVE Program Container", "references": [{"tags": ["x_refsource_CONFIRM", "x_transferred"], "url": "https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh"}, {"tags": ["x_refsource_MISC", "x_transferred"], "url": "https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468"}, {"name": "FEDORA-2021-f8bb3ba3ec", "tags": ["vendor-advisory", "x_refsource_FEDORA", "x_transferred"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/"}, {"name": "FEDORA-2021-4d3de3183f", "tags": ["vendor-advisory", "x_refsource_FEDORA", "x_transferred"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/"}, {"name": "FEDORA-2021-e7fabd81fb", "tags": ["vendor-advisory", "x_refsource_FEDORA", "x_transferred"], "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/"}]}]}, "cveMetadata": {"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "assignerShortName": "GitHub_M", "cveId": "CVE-2021-29510", "datePublished": "2021-05-13T18:55:11.000Z", "dateReserved": "2021-03-30T00:00:00.000Z", "dateUpdated": "2024-08-03T22:11:05.442Z", "state": "PUBLISHED"}, "dataType": "CVE_RECORD", "dataVersion": "5.1"}

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If 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 at https://github.com/samuelcolvin/pydantic/issues requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic."}, {"lang": "es", "value": "Pydantic es un sistema de validaci\u00f3n de datos y gesti\u00f3n de configuraciones que utiliza las sugerencias de tipo de Python. En las versiones afectadas, pasar `'infinity'`, `'inf'` o `float('inf')` (o sus negativos) a los campos `datetime` o `date` hace que la validaci\u00f3n se ejecute eternamente con un uso del 100% de la CPU (en una CPU). Pydantic ha sido parcheado con correcciones disponibles en las siguientes versiones: v1.8.2, v1.7.4, v1.6.2. Todas estas versiones est\u00e1n disponibles en pypi(https://pypi.org/project/pydantic/#history), y estar\u00e1n disponibles en conda-forge(https://anaconda.org/conda-forge/pydantic) pronto. Consulta el registro de cambios(https://pydantic-docs.helpmanual.io/) para m\u00e1s detalles. Si no puedes actualizar absolutamente, puedes evitar este riesgo usando un validador(https://pydantic-docs.helpmanual.io/usage/validators/) para capturar estos valores. Esta no es una soluci\u00f3n ideal (en particular, necesitar\u00e1s una funci\u00f3n ligeramente diferente para las fechas), en lugar de un hack como este deber\u00edas actualizar pydantic. 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