Description
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.
References5
- github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705…
- github.com/marcosschroh/dataclasses-avroschema/pull/358
- github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.7…
- github.com/marcosschroh/dataclasses-avroschema/security/advisor…
- github.com/marcosschroh/dataclasses-avroschema/security/advisor…
Metrics
- CVSS 3.1
-
8.8
HIGH
Score source: CNA
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H - EPSS — exploit probability
- 0% percentile: 32 · as of 11 November 2026
- CWE
- CWE-94
Could this be exploited in your environment?
A patch closes the known hole. A penetration test shows what an attacker can still reach — with proof.