CVE-2026-54653 — datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and…¶
Key facts
CVE-2026-54653 is a High (8.8) vulnerability: datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and…. This entry ships a detection-only PoC and a Docker test lab.
| CVE | CVE-2026-54653 |
| Severity | High (8.8) |
| Detection / prevention | — |
| PoC | poc.py |
| Source | 2026/CVE-2026-54653/ |
Details¶
English | 한국어
Description¶
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.17.0 until 0.60.2, datamodel-code-generator preserves attacker-controlled default_factory values in src/datamodel_code_generator/parser/jsonschema.py through JsonSchemaObject.init and get_field_extras and emits them into Field(default_factory=...) or field(default_factory=...), allowing Python expression execution when the generated model is imported. This issue is fixed in version 0.60.2.
Vulnerability Details¶
| Property | Value |
|---|---|
| CVE ID | CVE-2026-54653 |
| Type | RCE |
| CVSS Score | 8.8 |
Proof of Concept¶
Download¶
# Download PoC script
curl -O https://raw.githubusercontent.com/fankh/vulnerability-poc/main/2026/CVE-2026-54653/poc.py
Usage¶
# Run PoC against target
python3 poc.py --target <TARGET_URL>
# With authentication
python3 poc.py --target <TARGET_URL> --username <USER> --password <PASS>
⚠️ Warning: This PoC is for authorized security testing only. It uses detection-only techniques and does not exploit or damage target systems.
Test Lab¶
This repository includes a Docker-based test environment with both vulnerable and patched applications.
Quick Start¶
# Clone and navigate to CVE directory
cd CVE-2026-54653
# Start both applications
docker-compose up -d
# Run tests
./run-tests.sh # Linux/Mac
./run-tests.ps1 # Windows PowerShell
Application Endpoints¶
| Application | URL | Status |
|---|---|---|
| Vulnerable App | http://localhost:8080 | Shows vulnerability |
| Patched App | http://localhost:8081 | Demonstrates fix |
Directory Structure¶
├── README.md # English documentation
├── README_KO.md # Korean documentation
├── poc.py # PoC detection script
├── docker-compose.yml # Container orchestration
├── run-tests.sh # Linux/Mac test runner
├── run-tests.ps1 # Windows test runner
├── vulnerable-app/ # Vulnerable version
│ ├── app.py
│ ├── Dockerfile
│ └── requirements.txt
└── patched-app/ # Fixed version
├── app.py
├── Dockerfile
└── requirements.txt
References¶
- https://github.com/koxudaxi/datamodel-code-generator/commit/17fc235e234cbcfaaadef8c74cb72c9687db0d1d
- https://github.com/koxudaxi/datamodel-code-generator/releases/tag/0.60.2
- https://github.com/koxudaxi/datamodel-code-generator/security/advisories/GHSA-386q-5hp3-95m9
- https://gist.github.com/thegr1ffyn/9648b0fe4fcf7d569ac8e61dd11eebaf
Generated by PoC Generator on 2026-08-03T07:29:43.922165395
Frequently asked questions¶
What is CVE-2026-54653?¶
CVE-2026-54653 is a High (8.8) vulnerability: datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and…. This entry ships a detection-only PoC and a Docker test lab.
How do I detect CVE-2026-54653?¶
Run the detection-only PoC included with this entry against your Docker test lab to confirm whether a target is affected; pair it with your own IDS logging.
How do I block or mitigate CVE-2026-54653?¶
Upgrade to a fixed version per the vendor advisory; the NVD record lists the affected versions. Use the included PoC to verify your remediation.
For authorized security testing and research only. See the full source and NVD record.