VYPR
Moderate severityNVD Advisory· Published May 13, 2021· Updated Aug 3, 2024

Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic

CVE-2021-29510

Description

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.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
pydanticPyPI
< 1.6.21.6.2
pydanticPyPI
>= 1.8, < 1.8.21.8.2
pydanticPyPI
>= 1.7, < 1.7.41.7.4

Affected products

2
  • ghsa-coords
    Range: < 1.6.2
  • samuelcolvin/pydanticv5
    Range: >= 1.8.0, < 1.8.2

Patches

Vulnerability mechanics

References

14

News mentions

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