FKIE_CVE-2026-33744
Vulnerability from fkie_nvd - Published: 2026-03-27 01:16 - Updated: 2026-10-07 08:10
Severity
Summary
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.37, the `docker.system_packages` field in `bentofile.yaml` accepts arbitrary strings that are interpolated directly into Dockerfile `RUN` commands without sanitization. Since `system_packages` is semantically a list of OS package names (data), users do not expect values to be interpreted as shell commands. A malicious `bentofile.yaml` achieves arbitrary command execution during `bentoml containerize` / `docker build`. Version 1.4.37 fixes the issue.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/bentoml/BentoML/security/advisories/GHSA-jfjg-vc52-wqvf | Exploit, Mitigation, Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"product": "BentoML",
"vendor": "bentoml",
"versions": [
{
"status": "affected",
"version": "\u003c 1.4.37"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:bentoml:bentoml:*:*:*:*:*:*:*:*",
"matchCriteriaId": "C913A594-9EEC-40AC-A218-6FEA1F57E614",
"versionEndExcluding": "1.4.37",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.37, the `docker.system_packages` field in `bentofile.yaml` accepts arbitrary strings that are interpolated directly into Dockerfile `RUN` commands without sanitization. Since `system_packages` is semantically a list of OS package names (data), users do not expect values to be interpreted as shell commands. A malicious `bentofile.yaml` achieves arbitrary command execution during `bentoml containerize` / `docker build`. Version 1.4.37 fixes the issue."
},
{
"lang": "es",
"value": "BentoML es una biblioteca de Python para construir sistemas de servicio en l\u00ednea optimizados para aplicaciones de IA e inferencia de modelos. Antes de la versi\u00f3n 1.4.37, el campo \u0027docker.system_packages\u0027 en \u0027bentofile.yaml\u0027 aceptaba cadenas arbitrarias que se interpolaban directamente en los comandos \u0027RUN\u0027 de Dockerfile sin sanitizaci\u00f3n. Dado que \u0027system_packages\u0027 es sem\u00e1nticamente una lista de nombres de paquetes del sistema operativo (datos), los usuarios no esperan que los valores se interpreten como comandos de shell. Un \u0027bentofile.yaml\u0027 malicioso logra la ejecuci\u00f3n arbitraria de comandos durante \u0027bentoml containerize\u0027 / \u0027docker build\u0027. La versi\u00f3n 1.4.37 corrige el problema."
}
],
"id": "CVE-2026-33744",
"lastModified": "2026-10-07T08:10:00.200",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-33744",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-27T20:01:10.256531Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-27T01:16:21.007",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-jfjg-vc52-wqvf"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-94"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.