CVE-2026-108381dataclasses-avroschema pydantic-class metadata allows code injection in generated annotations
Updated under an hour ago ()
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It affects marcosschroh dataclasses-avroschema. Add what you run to find out whether that includes you.
EPSS puts the chance of exploitation in the next 30 days at 0.30%, higher than 21% of scored CVEs.
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dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.44.0 through 0.70.5, the Pydantic and AvroDantic model generators insert a schema field's pydantic-class value after pydantic. in a generated field annotation without safely restricting the expression. Because annotations are evaluated when the generated module is imported, a crafted value can execute arbitrary Python code. Version 0.70.6 fixes the vulnerability by restricting the value to a bare name or a call to a bare name with literal arguments.
- CVSS
- 8.8 HIGH (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weakness (CWE)
- CWE-94
- Known exploited
- Not in CISA's KEV catalog
- EPSS (exploitation in the next 30 days)
- 0.30% (percentile 21)
- Assigned by
- GitHub_M
- NVD analysis
- Awaiting Analysis
- Record last updated
- Oct 16, 2026
- First seen by InfoSec Signals
- Oct 13, 2026
Affected products
marcosschroh dataclasses-avroschema marcosschroh:dataclasses_avroschema (from the name) | from 0.44.0, < 0.70.6 | CNA record |
References
- https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-4jmx-9m83-vxx8x-refsource-confirm
- https://github.com/marcosschroh/dataclasses-avroschema/pull/358x-refsource-misc
- https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c65e2ef832daed5ff91318fcx-refsource-misc
- https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6x-refsource-misc
The CVE record on cve.org NVD's entry
The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.