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 renders a schema-controlled enum field default as an enum member reference after applying case conversion but without validating it as an identifier. Newlines, operators, and punctuation can escape the intended reference and inject constrained statements into the generated module, allowing namespace modification or preventing the module from loading.
Version 0.70.6 fixes the vulnerability by validating enum defaults as names.
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)
References 3
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c…
security-advisories@github.com
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
security-advisories@github.com
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…
security-advisories@github.com