Pydantic 1.8.2, 1.7.4 and 1.6.2 include a fix for CVE-2021-29510: In affected versions of Pydantic 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.

Pydantic 1.10.13 and 2.4.0 include a fix for a regular expression denial of service vulnerability (REDoS).
https://github.com/pydantic/pydantic/pull/7360
https://github.com/pydantic/pydantic/pull/7673

Pydantic 1.10.2 prevents long strings as int inputs to fix CVE-2020-10735.
https://github.com/pydantic/pydantic/commit/eccd85e4d012e70ffbd81f379179da900d4621c5

Regular expression denial of service in Pydanic affected versions allows remote attackers to cause denial of service via a crafted email string.