gsd-2021-29510
Vulnerability from gsd
Modified
2023-12-13 01:23
Details
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.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-29510",
"description": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (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\u0027t 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\u0027ll 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.",
"id": "GSD-2021-29510",
"references": [
"https://www.suse.com/security/cve/CVE-2021-29510.html",
"https://security.archlinux.org/CVE-2021-29510"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-29510"
],
"details": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (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\u0027t 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\u0027ll 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.",
"id": "GSD-2021-29510",
"modified": "2023-12-13T01:23:36.242776Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"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": {
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{
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"version": {
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},
{
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"value": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (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\u0027t 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\u0027ll 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": {
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{
"description": [
{
"lang": "eng",
"value": "CWE-835: Loop with Unreachable Exit Condition (\u0027Infinite Loop\u0027)"
}
]
}
]
},
"references": {
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"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"
},
{
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"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"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c1.6.2||\u003e=1.7,\u003c1.7.4||\u003e=1.8,\u003c1.8.2",
"affected_versions": "All versions before 1.6.2, all versions starting from 1.7 before 1.7.4, all versions starting from 1.8 before 1.8.2",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
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"cwe_ids": [
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"CWE-835",
"CWE-937"
],
"date": "2021-05-25",
"description": "By passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (or their negatives) to `datetime` or `date` fields causes validation to run forever with % CPU usage (on one CPU).",
"fixed_versions": [
"1.6.2",
"1.7.4",
"1.8.2"
],
"identifier": "CVE-2021-29510",
"identifiers": [
"CVE-2021-29510",
"GHSA-5jqp-qgf6-3pvh"
],
"not_impacted": "All versions starting from 1.6.2 before 1.7, all versions starting from 1.7.4 before 1.8, all versions starting from 1.8.2",
"package_slug": "pypi/pydantic",
"pubdate": "2021-05-13",
"solution": "Upgrade to versions 1.6.2, 1.7.4, 1.8.2 or above.",
"title": "Loop with Unreachable Exit Condition (Infinite Loop)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-29510"
],
"uuid": "b6771a04-bd6e-4353-85c8-627792399152"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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},
"impact": {
"baseMetricV2": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-05-25T14:21Z",
"publishedDate": "2021-05-13T19:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.