Public vulnerability disclosure

CVE-2026-127208

datamodel-code-generator < 0.84.0 Code Injection via x-python-type Annotation

publishedCWE-94

datamodel-code-generator before 0.84.0 contains a code injection vulnerability that allows attackers to achieve arbitrary code execution by supplying a malicious JSON Schema with a crafted x-python-type annotation containing a string ast.Constant node in a subscript slice position, which bypasses validation in parse_python_type_annotation and _python_type_expr_from_ast. Attackers can embed malicious Python expressions such as __import__ calls within quoted string literals in the generated source code, which Pydantic v2 evaluates as a ForwardRef via eval() during model_rebuild(), resulting in arbitrary code execution on developer workstations, CI/CD pipelines, or applications that generate and import the produced models at runtime.

Technical severity8.6 highCVSS 4.0 · CNA: VulnCheck
Published2026-11-12Source updated 2026-11-12
Collected2026-11-121 attributed source

Fixes and workarounds

Fix

The reporting source identifies this reference as a patch. Check the advisory for affected versions and supported release branches.

Source: CNA: VulnCheck

Affected products and versions

Affected products, source version ranges and reporting authorities
ProductVersionsAuthority
datamodel-code-generator
datamodel-code-generator
datamodel-code-generator
pypi
≥ 0; < 0.84.0 (affected, semver)
Other versions: unaffected
CNA: VulnCheck

Version ranges are source assertions. Check the vendor advisory and your installed configuration before determining exposure.

CVSS assessments

CVSS scores, vectors and reporting authorities
Version / scoreVectorAuthority
4.0 / 8.6
high
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NCNA: VulnCheck
3.1 / 8.8
high
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HCNA: VulnCheck

Exploit evidence

No exploit evidence in collected sources. This is not proof of no exploitation.

References

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