Pydanticproject Pydantic
By the Year
In 2024 there have been 0 vulnerabilities in Pydanticproject Pydantic . Pydantic did not have any published security vulnerabilities last year.
| Year | Vulnerabilities | Average Score |
|---|---|---|
| 2024 | 0 | 0.00 |
| 2023 | 0 | 0.00 |
| 2022 | 0 | 0.00 |
| 2021 | 1 | 7.50 |
| 2020 | 0 | 0.00 |
| 2019 | 0 | 0.00 |
| 2018 | 0 | 0.00 |
It may take a day or so for new Pydantic vulnerabilities to show up in the stats or in the list of recent security vulnerabilties. Additionally vulnerabilities may be tagged under a different product or component name.
Recent Pydanticproject Pydantic Security Vulnerabilities
Pydantic is a data validation and settings management using Python type hinting
CVE-2021-29510
7.5 - High
- May 13, 2021
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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