OPENSUSE-SU-2026:11424-1

Vulnerability from csaf_opensuse - Published: 2026-08-01 00:00 - Updated: 2026-09-17 17:17
Summary
python313-pydantic-2.13.4-2.1 on GA media
Severity
Moderate
Notes
Title of the patch: python313-pydantic-2.13.4-2.1 on GA media
Description of the patch: These are all security issues fixed in the python313-pydantic-2.13.4-2.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-11424
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Product Identifier Version Remediation
Unresolved product id: openSUSE Tumbleweed:python313-pydantic-0:2.13.4-2.1.aarch64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-pydantic-0:2.13.4-2.1.ppc64le —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-pydantic-0:2.13.4-2.1.s390x —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-pydantic-0:2.13.4-2.1.x86_64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.aarch64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.ppc64le —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.s390x —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.x86_64 —
Vendor Fix
Threats
Impact important
Affected products
Recommended 8 products, the same list as for CVE-2021-29510
Threats
Impact moderate

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          "text": "Pydantic is a data validation and settings management using Python type hinting. In affected versions passing either `\u0027infinity\u0027`, `\u0027inf\u0027` or `float(\u0027inf\u0027)` (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\u0027t 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\u0027ll 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.",
          "title": "CVE description"
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          "text": "Regular expression denial of service in Pydanic \u003c 2.4.0, \u003c 1.10.13 allows remote attackers to cause denial of service via a crafted email string.",
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            "openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.ppc64le",
            "openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.s390x",
            "openSUSE Tumbleweed:python314-pydantic-0:2.13.4-2.1.x86_64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "date": "2026-08-01T00:00:00Z",
          "details": "moderate"
        }
      ],
      "title": "CVE-2024-3772"
    }
  ]
}



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Taxonomy of the tags.


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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