CVE-2026-54691

Received Received - Intake

Server-Side Request Forgery in datamodel-code-generator

Publication date: 2026-07-28

Last updated on: 2026-07-28

Assigner: GitHub, Inc.

Description

datamodel-code-generator generates Python data models from schema definitions. From 0.9.1 until 0.61.0, src/datamodel_code_generator/http.py http.get_body accepts --url targets and redirect chain targets without host/IP validation, allowing server-side request forgery against loopback, private, link-local, metadata, and other network-accessible resources. This issue is fixed in version 0.61.0.

CVSS Scores

EPSS Scores

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Meta Information

Published

2026-07-28

Last Modified

2026-07-28

Generated

2026-07-29

AI Q&A

2026-07-29

EPSS Evaluated

N/A

NVD

CVE-2026-54691

Affected Vendors & Products

Vendor	Product	Version / Range
datamodel-code-generator	datamodel_code_generator	From 0.9.1 (inc) to 0.61.0 (exc)

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-918	The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

Attack-Flow Graph

Executive Summary

The vulnerability is a server-side request forgery (SSRF) issue in datamodel-code-generator versions 0.9.1 to 0.61.0. The http.get_body function in src/datamodel_code_generator/http.py accepts URLs and redirect chains without validating the host or IP address, allowing attackers to make unauthorized requests to internal or restricted network resources.

Detection Guidance

This vulnerability involves improper URL handling in datamodel-code-generator versions 0.9.1 to 0.61.0. To detect it, check if the tool is installed and verify its version. Run: pip show datamodel-code-generator. If the version is between 0.9.1 and 0.61.0, the system is vulnerable.

Impact Analysis

This vulnerability could allow attackers to access sensitive internal systems, exfiltrate data, or perform unauthorized actions on your network by tricking your application into making requests to unintended targets. It may lead to data breaches or service disruption.

Compliance Impact

This SSRF vulnerability could lead to unauthorized access to personal or sensitive data, violating GDPR and HIPAA requirements for data protection and access controls. Non-compliance may result in legal penalties or reputational damage.

Mitigation Strategies

Upgrade datamodel-code-generator to version 0.61.0 or later immediately. Run: pip install --upgrade datamodel-code-generator. Avoid using untrusted URLs in the tool until updated.

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