Security advisory
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2021-29510
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 31 Oct 2026, 12:04 UTC · Revision 1
Source evidence
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.
osv:CVE-2021-29510
Complete source record
{
"id": "a26c829db4400ecc47319957f0d17a7bc7f94fbe03005e0582ebe70e0ce33bc1",
"url": "https://osv.dev/vulnerability/CVE-2021-29510",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "CVE-2021-29510",
"summary": "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.",
"evidence": "osv:CVE-2021-29510",
"products": [],
"severity": "high",
"structured": {
"id": "CVE-2021-29510",
"aliases": [
"CVE-2021-29510",
"GHSA-5jqp-qgf6-3pvh",
"PYSEC-2021-47"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/pydantic/pydantic",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"fixed": "acf778345d516a78d93c08459ab4cd4c6709a6be"
},
{
"introduced": "95435de4526b609ee904b7a27478cec2e32f8fe8"
},
{
"fixed": "e3d1c161d79d54e0e2d549f96e7b458d74088205"
},
{
"introduced": "a8d50aef0c375374302d050fbe16703d33aaeb86"
},
{
"fixed": "a84cfacf9caf08bef8edca076c3325c3cf49475d"
},
{
"fixed": "7e83fdd2563ffac081db7ecdf1affa65ef38c468"
}
],
"database_specific": {
"extracted_events": [
{
"cpe": "cpe:2.3:a:pydantic:pydantic:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0"
},
{
"fixed": "1.6.2"
}
],
"source": "CPE_RANGE"
},
{
"cpe": "cpe:2.3:a:pydantic:pydantic:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "1.7"
},
{
"fixed": "1.7.4"
}
],
"source": "CPE_RANGE"
},
{
"cpe": "cpe:2.3:a:pydantic:pydantic:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "1.8"
},
{
"fixed": "1.8.2"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "7e83fdd2563ffac081db7ecdf1affa65ef38c468"
}
],
"source": "REFERENCES_COMMIT"
}
]
}
}
],
"versions": [
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"v1.8.1",
"v1.8",
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"v1.7.1",
"v1.7",
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"v1.5",
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"v1.3",
"v1.2",
"v1.1",
"v1.0",
"v1.0b2",
"v1.0b1",
"v0.32",
"v0.31.1",
"v0.31",
"v0.30.1",
"v0.30",
"v0.29",
"v0.28",
"v0.27",
"v0.26",
"v0.25",
"v0.24",
"v0.23",
"v0.22",
"v0.21",
"v0.20.1",
"v0.20",
"v0.20a1",
"v0.19",
"v0.18.2",
"v0.18.1",
"v0.18",
"V0.17",
"v0.16.1",
"v0.16",
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"v0.13.1",
"v0.13",
"v0.12.1",
"v0.12",
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"v0.11.1",
"v0.11",
"v0.10",
"v0.9.1",
"v0.9",
"v0.8",
"v0.7.1",
"v0.7",
"v0.6.4",
"v0.6.3",
"v0.6.2",
"v0.6.1",
"v0.6",
"v0.5",
"v0.4",
"v0.3",
"v0.2.1",
"v0.2",
"v0.1",
"v0.0.8",
"v0.0.7",
"v0.0.6",
"v0.0.5",
"v0.0.4",
"v0.0.3",
"v0.0.2"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-29510.json"
}
}
],
"modified": "2026-10-20T10:55:15.024628687Z",
"provider": "osv",
"references": [
"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/",
"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/",
"https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/",
"https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468",
"https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh"
],
"provider_metadata": {
"unresolved_ranges": [
{
"cpes": [
"cpe:2.3:o:fedoraproject:fedora:33:*:*:*:*:*:*:*",
"cpe:2.3:o:fedoraproject:fedora:34:*:*:*:*:*:*:*"
],
"vendor_product": "fedoraproject:fedora",
"extracted_events": [
{
"range": [
{
"introduced": "33"
},
{
"last_affected": "33"
},
{
"introduced": "34"
},
{
"last_affected": "34"
}
],
"source": "CPE_STRING"
}
]
}
]
}
},
"related_cves": [
{
"value": "CVE-2021-29510",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 387067,
"published_at": "2021-05-13T19:15:08.023+00:00"
}