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Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLTVqcXAtcWdmNi0zcHZo
Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic
Impact
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).
Patches
Pydantic is be patched with fixes available in the following versions:
v1.8.2
v1.7.4
v1.6.2
All these versions are available on pypi, and will be available on conda-forge soon.
See the changelog for details.
Workarounds
If you absolutely can't upgrade, you can work around this risk using a validator to catch these values, brief demo:
from datetime import date
from pydantic import BaseModel, validator
class DemoModel(BaseModel):
date_of_birth: date
@validator('date_of_birth', pre=True)
def skip_infinite_values(cls, v):
try:
seconds = float(v)
except (ValueError, TypeError):
return v
else:
if seconds == float('inf'):
return date.max
elif seconds == float('-inf'):
return date.min
else:
return seconds
Note: 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 requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.
References
This was fixed in commit 7e83fdd.
Permalink: https://github.com/advisories/GHSA-5jqp-qgf6-3pvhJSON: https://advisories.ecosyste.ms/api/v1/advisories/MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLTVqcXAtcWdmNi0zcHZo
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Low
Classification: General
Published: almost 3 years ago
Updated: 8 months ago
CVSS Score: 3.3
CVSS vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
Identifiers: GHSA-5jqp-qgf6-3pvh, CVE-2021-29510
References:
- https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh
- https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468
- https://nvd.nist.gov/vuln/detail/CVE-2021-29510
- https://lists.fedoraproject.org/archives/list/[email protected]/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/
- https://lists.fedoraproject.org/archives/list/[email protected]/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/
- https://lists.fedoraproject.org/archives/list/[email protected]/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/
- https://github.com/pydantic/pydantic/commit/1c24f1d74ba95ea985b50bdc001ce96c813229aa
- https://github.com/pydantic/pydantic/commit/80e0dd3f752bef145dce12f160d262bb40ec8d47
- https://github.com/pydantic/pydantic/commit/bdde15b7b947c94ca00fd6eb92da8db390a13520
- https://github.com/advisories/GHSA-5jqp-qgf6-3pvh
Blast Radius: 15.5
Affected Packages
pypi:pydantic
Dependent packages: 5,788Dependent repositories: 49,355
Downloads: 181,782,366 last month
Affected Version Ranges: < 1.6.2, >= 1.7.0, < 1.7.4, >= 1.8.0, < 1.8.2
Fixed in: 1.6.2, 1.7.4, 1.8.2
All affected 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, 0.2.1, 0.6.1, 0.6.2, 0.6.3, 0.6.4, 0.7.1, 0.9.1, 0.11.1, 0.11.2, 0.12.1, 0.13.1, 0.16.1, 0.18.1, 0.18.2, 0.20.1, 0.30.1, 0.31.1, 0.32.1, 0.32.2, 1.1.1, 1.5.1, 1.6.1, 1.7.1, 1.7.2, 1.7.3, 1.8.1
All unaffected versions: 1.6.2, 1.7.4, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.10.0, 1.10.1, 1.10.2, 1.10.3, 1.10.4, 1.10.5, 1.10.6, 1.10.7, 1.10.8, 1.10.9, 1.10.10, 1.10.11, 1.10.12, 1.10.13, 1.10.14, 1.10.15, 2.0.1, 2.0.2, 2.0.3, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.3.0, 2.4.0, 2.4.1, 2.4.2, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.7.0, 2.7.1