GHSA-5jqp-qgf6-3pvh

    Dashboard / Vulnerabilities / GHSA-5jqp-qgf6-3pvh

    GHSA-5jqp-qgf6-3pvh

    Published: 13 May 2021Last Modified: 8 Jul 2026

    Summary: Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic

    Details: Impact 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). Patches Pydantic is be patched with fixes available in the following versions: v1.8.2 v1.7.4 v1.6.2 All these versions are available on pypi, and will be available on conda-forge soon. See the changelog for details. Workarounds If you absolutely can't upgrade, you can work around this risk using a validator to catch these values, brief demo: from datetime import date from pydantic import BaseModel, validator class DemoModel(BaseModel): date_of_birth: date @validator('date_of_birth', pre=True) def skip_infinite_values(cls, v): try: seconds = float(v) except (ValueError, TypeError): return v else: if seconds == float('inf'): return date.max elif seconds == float('-inf'): return date.min else: return seconds Note: 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 requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic. References This was fixed in commit 7e83fdd.

    References: https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh, https://nvd.nist.gov/vuln/detail/CVE-2021-29510, https://github.com/pydantic/pydantic/commit/1c24f1d74ba95ea985b50bdc001ce96c813229aa, https://github.com/pydantic/pydantic/commit/80e0dd3f752bef145dce12f160d262bb40ec8d47, https://github.com/pydantic/pydantic/commit/bdde15b7b947c94ca00fd6eb92da8db390a13520, https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468, https://github.com/pydantic/pydantic, https://github.com/pypa/advisory-database/tree/main/vulns/pydantic/PYSEC-2021-47.yaml, https://lists.fedoraproject.org/archives/list/[email protected]/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB, https://lists.fedoraproject.org/archives/list/[email protected]/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB, https://lists.fedoraproject.org/archives/list/[email protected]/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV

    Affected packages

    Package

    Name: pydantic

    Purl: pkg:pypi/pydantic

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -1.6.2

    Affected versions

    0.0.1
    0.0.2
    0.0.3
    0.0.4
    0.0.5
    0.0.6
    0.0.7
    0.0.8

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    GHSA-5jqp-qgf6-3pvh | CVE-DB