Arbitrary Code Injection Affecting label-studio package, versions <1.23.0-r11
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-CHAINGUARDLATEST-LABELSTUDIO-18518958
- published5 Aug 2026
- disclosed28 Jul 2026
Introduced: 28 Jul 2026
CVE-2026-54654 (opens in a new tab)How to fix?
Upgrade Chainguard label-studio to version 1.23.0-r11 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream label-studio package and not the label-studio package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
datamodel-code-generator generates Python data models from schema definitions. From 0.14.1 until 0.60.2, the --extra-template-data comment field is rendered into Python comments in src/datamodel_code_generator/model/template/TypeAliasAnnotation.jinja2, src/datamodel_code_generator/model/template/TypedDict.jinja2, src/datamodel_code_generator/model/template/dataclass.jinja2, src/datamodel_code_generator/model/template/msgspec.Struct.jinja2, src/datamodel_code_generator/model/template/pydantic/BaseModel.jinja2, and src/datamodel_code_generator/model/template/pydantic_v2/BaseModel.jinja2 without neutralizing carriage returns in Python # comments, allowing an attacker-controlled comment value to inject Python code into generated models that runs when imported. This issue is fixed in version 0.60.2.