Описание
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...
| Релиз | Статус | Примечание |
|---|---|---|
| bionic | DNE | |
| devel | not-affected | 1.10.4-1ubuntu1 |
| esm-apps/focal | released | 1.2-1ubuntu0.1~esm1 |
| esm-apps/jammy | not-affected | 1.8.2-1 |
| esm-infra-legacy/trusty | DNE | |
| focal | ignored | end of standard support, was needed |
| groovy | ignored | end of life |
| hirsute | ignored | end of life |
| impish | ignored | end of life |
| jammy | not-affected | 1.8.2-1 |
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EPSS
5 Medium
CVSS2
3.3 Low
CVSS3
Связанные уязвимости
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 up
Pydantic is a data validation and settings management using Python typ ...
Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic
Уязвимость полей даты средства анализа и проверки данных Pydantic, связанная с выполнением цикла с недоступным условием выхода, позволяющая нарушителю вызвать отказ в обслуживании
EPSS
5 Medium
CVSS2
3.3 Low
CVSS3