CVE-2026-108385
HIGH
8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
Description
AI Translation Available
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.
94
Improper Control of Generation of Code ('Code Injection')
DraftCommon Consequences
Security Scopes Affected:
Access Control
Integrity
Confidentiality
Availability
Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism
Gain Privileges Or Assume Identity
Execute Unauthorized Code Or Commands
Hide Activities
Applicable Platforms
Languages:
Interpreted
Technologies:
AI/ML
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c…
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…