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CVE-2026-108384

8.8 HIGHpublic exploit available

Published 2026-10-13 · Updated 2026-10-16

AI risk analysis

Summary
The vulnerability allows arbitrary code execution during schema parsing when processing fixed type aliases in dataclasses-avroschema. An attacker can craft a malicious schema that executes arbitrary Python code upon import of the generated module.
Exploitability
Exploitation is moderately difficult as it requires an attacker to control a schema definition that gets processed by the vulnerable library, typically involving a user-supplied or untrusted schema that gets parsed and generates executable Python code.
Blast radius
The impact could be significant in environments where schemas are imported from untrusted sources, potentially leading to full system compromise through code execution in the context of the importing process.
Detection
No reliable host or network indicator is derivable from the published description.
Prioritized remediation
Upgrade to version 0.70.6 or later to fix the vulnerability in BaseGenerator.parse_fixed.
rcedeserializationschema

Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.

NVD description

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.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Weaknesses

CWE-94

Public exploit & PoC references

All references

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.

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