CVE-2026-2473
Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to (but not including) 1.133.0 on Google Cloud Platform allows an unauthenticated remote attacker to achieve cross-tenant remote code execution, model theft, and poisoning via pre-creating predictably named Cloud Storage buckets (Bucket Squatting).
This vulnerability was patched and no customer action is needed.
CVSS
- Versión: 4.0
- Vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Clear
- Puntuación base: 7.7
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.46%
- Percentil entre todas las CVEs puntuadas: 37
- Fecha de la puntuación: 5/10/2026
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 % - Impacto secundario
T1005Data from Local Systemcollection85 % - Impacto secundario
T1565.002Transmitted Data Manipulationimpact80 %
UI:P requiere interacción del usuario (crear experimentos); acceso remoto sin autenticación previa (PR:N). Impactos: RCE (T1059), robo de modelos ML (T1005), envenenamiento de modelos (T1565.002 manipulación de datos).
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-340
Referencias
JSON original (NVD)
Mostrar
{
"id": "CVE-2026-2473",
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"sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
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"baseSeverity": "HIGH",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Clear",
"exploitMaturity": "NOT_DEFINED",
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"integrityRequirement": "NOT_DEFINED",
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"vulnAvailabilityImpact": "HIGH",
"availabilityRequirement": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
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"subConfidentialityImpact": "NONE",
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"vulnerabilityResponseEffort": "NOT_DEFINED",
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"affected": [
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"published": "2026-02-20T20:25:24.497",
"references": [
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"url": "https://docs.cloud.google.com/support/bulletins#gcp-2026-012",
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
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"description": [
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"descriptions": [
{
"lang": "en",
"value": "Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to (but not including) 1.133.0 on Google Cloud Platform allows an unauthenticated remote attacker to achieve cross-tenant remote code execution, model theft, and poisoning via pre-creating predictably named Cloud Storage buckets (Bucket Squatting).\n\nThis vulnerability was patched and no customer action is needed."
},
{
"lang": "es",
"value": "Nombres de buckets predecibles en Vertex AI Experiments en Google Cloud Vertex AI desde la versión 1.21.0 hasta (pero sin incluir) la 1.133.0 en Google Cloud Platform permite a un atacante remoto no autenticado lograr ejecución remota de código entre inquilinos, robo de modelos y envenenamiento mediante la creación previa de buckets de Cloud Storage con nombres predecibles (Bucket Squatting).\n\nEsta vulnerabilidad fue parcheada y no se requiere ninguna acción por parte del cliente."
}
],
"lastModified": "2026-06-17T10:31:08.043",
"sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
}