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, BaseGenerator.parse_enum and EnumRepresentation.render_symbols use each schema-controlled enum symbol as a generated enum member name after case conversion but without validating it as an identifier. When generator classes are used directly, newlines and punctuation can inject constrained statements into the generated enum class body, allowing namespace modification or preventing the module from loading.
Version 0.70.6 fixes the vulnerability by validating every enum symbol as a name.
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