CVE-2026-108381GHSA-4JMX-9M83-VXX8
dataclasses-avroschema pydantic-class metadata allows code injection in generated annotations
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 0.70.6
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
CISA's decision points: whether it is exploited, whether attacks can be automated, and how much control an attacker gets. Assessed (SSVC 2.0.3).What do these mean? →
- Exploitation: poc
- Automatable: no
- Technical impact: total
Summary
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.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: total
- Record last updated
Affected versions
- marcosschroh dataclasses-avroschema
From 0.44.0 · fixed in 0.70.6