dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, FieldRepresentation.get_field_default inserts schema-controlled string, UUID, bytes, and fixed field defaults into quoted literals in generated Python source without escaping them. A crafted default can terminate the literal and inject statements into the generated module, which execute when the module is imported.
Version 0.70.6 fixes the vulnerability by escaping schema values rendered into generated string literals.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Privileges Required
None
No privileges needed
User Interaction
Required
User action required
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
High
Complete data modification
Availability
High
Complete denial of service
CVSS Vector v3.1
Weakness Type (CWE)
Vulnerable Products
marcosschroh:dataclasses-avroschema
References 3
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-9h8h-264x-jcg2
https://github.com/marcosschroh/dataclasses-avroschema/commit/01e6d5e15ab0ff69f…
https://github.com/marcosschroh/dataclasses-avroschema/commit/01e6d5e15ab0ff69faac39a340d21b85da1e852f
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6