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 cant 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 youll 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.
The product contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Pydantic | Pydantic_project | * | 1.6.2 (excluding) |
| Pydantic | Pydantic_project | 1.7 (including) | 1.7.4 (excluding) |
| Pydantic | Pydantic_project | 1.8 (including) | 1.8.2 (excluding) |