CVE-2026-108377

Published: Ott 13, 2026 Last Modified: Ott 13, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,8
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 0.62.3 through 0.70.5, ClassRepresentation.render_metaclass inserts a schema-controlled Avro record name into the quoted Meta.schema_name field of generated Python source without escaping it. A crafted name can terminate the string literal and inject statements into the generated class body, which execute when the generated module is imported. Version 0.70.6 fixes the vulnerability by escaping schema values rendered into generated string literals.

94

Improper Control of Generation of Code ('Code Injection')

Draft
Common 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
View CWE Details
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…
https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c…
https://github.com/marcosschroh/dataclasses-avroschema/commit/919d3e07c8938369c…
https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6
https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA…