CVE-2026-46517
LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, hardcoded "trust_remote_code=True" enables HF supply-chain RCE without user opt-in. Version 0.13.0 patches the issue.
CVSS
- Versión: 3.1
- Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Puntuación base: 7.8
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.43%
- Percentil entre todas las CVEs puntuadas: 35
- Fecha de la puntuación: 6/10/2026
EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).
🎯 Técnicas ATT&CK
Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.
- Explotación
T1203Exploitation for Client Executionexecution85 % - Impacto principal
T1059Command and Scripting Interpreterexecution90 %
UI:R (interacción del usuario al cargar modelo) + CWE-94 (ejecución de código arbitrario) en cliente LMDeploy. RCE en cadena de suministro (HF) con confianza hardcodeada sin consentimiento del usuario.
Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.
🛡️ Mitigaciones ATT&CK que cubren estas técnicas
Tecnologías afectadas (1)
⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.
CWE
- CWE-94, CWE-915, CWE-1188
Referencias
- https://github.com/InternLM/lmdeploy/blob/v0.13.0/lmdeploy/version.py
- https://github.com/InternLM/lmdeploy/commit/81be52961aa324fd5cd3cacebffba1ba051bc107
- https://github.com/InternLM/lmdeploy/releases/tag/v0.13.0
- https://github.com/InternLM/lmdeploy/security/advisories/GHSA-9xq9-36w5-q796
- https://github.com/github/advisory-database/pull/4511
- https://github.com/pypa/advisory-database/tree/main/vulns/lmdeploy/PYSEC-2026-2608.yaml
JSON original (NVD)
Mostrar
{
"id": "CVE-2026-46517",
"cveTags": [],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-46517",
"role": "CISA Coordinator",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"version": "2.0.3",
"timestamp": "2026-06-11T03:55:31.160135Z"
}
}
],
"cvssMetricV31": [
{
"type": "Secondary",
"source": "security-advisories@github.com",
"cvssData": {
"scope": "UNCHANGED",
"version": "3.1",
"baseScore": 7.8,
"attackVector": "LOCAL",
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"integrityImpact": "HIGH",
"userInteraction": "REQUIRED",
"attackComplexity": "LOW",
"availabilityImpact": "HIGH",
"privilegesRequired": "NONE",
"confidentialityImpact": "HIGH"
},
"impactScore": 5.9,
"exploitabilityScore": 1.8
}
]
},
"affected": [
{
"source": "security-advisories@github.com",
"affectedData": [
{
"vendor": "InternLM",
"product": "lmdeploy",
"versions": [
{
"status": "affected",
"version": "<= 0.12.3"
}
]
}
]
}
],
"published": "2026-06-10T00:16:53.827",
"references": [
{
"url": "https://github.com/InternLM/lmdeploy/blob/v0.13.0/lmdeploy/version.py",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/InternLM/lmdeploy/commit/81be52961aa324fd5cd3cacebffba1ba051bc107",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/InternLM/lmdeploy/releases/tag/v0.13.0",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-9xq9-36w5-q796",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/github/advisory-database/pull/4511",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/lmdeploy/PYSEC-2026-2608.yaml",
"source": "security-advisories@github.com"
}
],
"vulnStatus": "Deferred",
"weaknesses": [
{
"type": "Secondary",
"source": "security-advisories@github.com",
"description": [
{
"lang": "en",
"value": "CWE-94"
},
{
"lang": "en",
"value": "CWE-915"
},
{
"lang": "en",
"value": "CWE-1188"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, hardcoded \"trust_remote_code=True\" enables HF supply-chain RCE without user opt-in. Version 0.13.0 patches the issue."
},
{
"lang": "es",
"value": "LMDeploy es un conjunto de herramientas para comprimir, desplegar y servir modelos de lenguaje grandes. En las versiones 0.12.3 y anteriores, el valor 'trust_remote_code=True' codificado de forma rígida permite RCE en la cadena de suministro de HF sin que el usuario lo autorice explícitamente. En el momento de la publicación, no hay parches disponibles públicamente."
}
],
"lastModified": "2026-08-31T15:17:17.260",
"sourceIdentifier": "security-advisories@github.com"
}