vulnerability / NVI-00016384 / Revision 1
`datamodel-code-generator` vulnerable to code execution on import via `x-python-type` JSON-Schema extension in datamodel-code-generator
GitHub lists this reviewed advisory for datamodel-code-generator. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
7.8 high
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
datamodel-code-generator
source listed>= 0.51.0, <= 0.60.1
### Summary `datamodel-code-generator` honours a custom `x-python-type` JSON-Schema extension that lets a schema author override the generated Python type for a field. The value is forwarded verbatim into the generated Python source as the field annotation, with a single sanitisation pass that is trivial to bypass. An attacker who controls a JSON Schema fed to `datamodel-codegen` can therefore embed an arbitrary Python statement in the generated module, which executes at class-definition time the moment the developer imports the file. No `--extra-template-data` and no special flags are required; the vulnerable code is reachable with default settings. ### Details Sink: `src/datamodel_code_generator/parser/jsonschema.py`, `_get_python_type_override` (lines 2055–2096, at tag `0.60.1` / commit `a321547e`): ```python def _get_python_type_override(self, obj: JsonSchemaObject) -> DataType | None: x_python_type = obj.extras.get("x-python-type") if not x_python_type or not isinstance(x_python_type, str): return None schema_type = obj.type if isinstance(obj.type, str) else None if self._is_compatible_python_type(schema_type, x_python_type): return None b
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. GitHub Advisory Database
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Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
05 / Provenance
Sources you can inspect
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- GHSA-m34r-v34r-rf9q ↗
GitHub Advisory Database · vendor advisory
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Public revision history
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- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.