dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.47.3 through 0.70.5, FieldRepresentation.get_field_default inserts a schema-controlled referenced record name into the callable position of a generated default_factory lambda without validating it as an Avro name. A crafted record name can become an arbitrary Python expression that executes when an instance of the generated model consumes the field default.
Version 0.70.6 fixes the vulnerability by rejecting record names that do not match the Avro name grammar.
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 4
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-jcjg-gjg5-xp7v
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c…
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c65e2ef832daed5ff91318fc
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/cve-2026-110113-publiccms-trade-addre…
134c704f-9b21-4f2e-91b3-4a467353bcc0