Open-Source Security Intelligence

Know every vulnerability
before it knows you.

DevGuard continuously monitors your dependencies and alerts you when CVEs like this one affect your stack — with real-time threat intelligence built for developers.

Search

GHSA-wjv6-jcfj-mf9r

HighCVSS 7.8 / 10
Published Jul 28, 2026·Last modified Jul 28, 2026
Affected Components(0)

No affected components available

Description

Summary

datamodel-code-generator is vulnerable to code injection when a developer passes an --extra-template-data file whose comment value contains a literal \r (carriage return). The comment variable is rendered into a Python # comment in six built-in templates with no line-terminator escaping. Python's tokenizer treats a bare CR as a physical-line terminator (see Python language reference — Physical lines), so the comment ends at the \r and the text after it is parsed as Python, including, when the CR is followed by suitable indentation, as a statement within the class body that follows on the next template line.

Details

The vulnerable templates each contain # {{ comment }} with no escaping:

  • src/datamodel_code_generator/model/template/TypeAliasAnnotation.jinja2:12 and :19
  • src/datamodel_code_generator/model/template/TypeAliasType.jinja2:12 and :19
  • src/datamodel_code_generator/model/template/TypeStatement.jinja2:12 and :19
  • src/datamodel_code_generator/model/template/pydantic_v2/BaseModel.jinja2:4
  • src/datamodel_code_generator/model/template/pydantic_v2/RootModel.jinja2:19
  • src/datamodel_code_generator/model/template/pydantic_v2/RootModelTypeAlias.jinja2:13

The pydantic_v2/BaseModel.jinja2:4 site is representative:

class {{ class_name }}({{ base_class }}):{% if comment is defined %}  # {{ comment }}{% endif %}

When the developer-supplied extras file populates comment for a model, the value reaches the template via DataModel.extra_template_data (set in src/datamodel_code_generator/model/base.py:736-742) and Jinja2 interpolates it raw. None of the templates use comment_safe, escape_docstring, or any other line-terminator filter.

PoC

Complete self contained POC is available at my secret gist: https://gist.github.com/thegr1ffyn/8ad6b8cb3cc2be9d3a0144aeb6896a3f

Impact

  • Who's affected: any developer or CI pipeline that runs datamodel-codegen --extra-template-data <file> where the extras file is influenced by attacker-controlled input. Realistic scenarios include:
    • Extras file generated from a third-party schema-annotation system.
    • Extras file vendored from an upstream repository.
    • Extras file produced by a script that merges multiple comment sources.
    • Build pipelines that template the extras file from environment variables, ticket descriptions, or commit metadata.
  • What it gains: arbitrary Python code execution in the importer's process at import time.
  • What it does NOT need: the schema itself can be entirely benign; only the extras file needs to contain the malicious comment.
  • What does block it: not passing --extra-template-data, or rejecting extras files whose comment values contain \r, \x0b, or \x0c before invocation.

Resolution

The fix normalizes comment values from built-in --extra-template-data before template rendering. Inline comments now convert CRLF, bare CR, vertical tab, and form feed into LF and prefix continuation lines with # , so attacker-controlled text stays inside the generated Python comment block.

Remediation

Upgrade to datamodel-code-generator 0.60.2 or later.

This issue affects datamodel-code-generator versions >= 0.14.1, <= 0.60.1 and is fixed in 0.60.2.

Submitted by: Hamza Haroon (thegr1ffyn)

Risk Scores
Base Score
7.8

The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
7.1

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
0.14%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Browse More

Scan your project

Continuously monitor your dependencies and get alerted when vulnerabilities like this one affect your stack.

Checkout DevGuard