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.
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 4
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c…
security-advisories@github.com
https://github.com/marcosschroh/dataclasses-avroschema/pull/358
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