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| purl | pkg:pypi/pydantic@1.5.1 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
|
VCID-7ykv-qpec-9bey
Aliases: CVE-2024-3772 GHSA-mr82-8j83-vxmv |
Pydantic regular expression denial of service Regular expression denial of service in Pydantic < 2.4.0, < 1.10.13 allows remote attackers to cause denial of service via a crafted email string. |
Affected by 0 other vulnerabilities. Affected by 0 other vulnerabilities. |
|
VCID-y2t2-p4g3-xfdf
Aliases: CVE-2021-29510 GHSA-5jqp-qgf6-3pvh PYSEC-2021-47 |
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. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 1 other vulnerability. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| This package is not known to fix vulnerabilities. | ||