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_fixed interpolates a fixed type's aliases value directly into a generated types.confixed annotation. A list is represented with quoted entries, but a bare string is emitted as an unquoted Python expression and evaluated when the generated module is imported, allowing arbitrary code execution from a crafted schema.
Version 0.70.6 fixes the vulnerability by rejecting aliases values that are not lists.
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