CVE-2026-2473 (GCVE-0-2026-2473)
Vulnerability from cvelistv5 – Published: 2026-02-20 19:39 – Updated: 2026-02-23 19:54 Exclusively Hosted Service
VLAI
EPSS
VEX
Title
Bucket Squatting in Vertex AI Experiments leads to RCE and Model Theft.
Summary
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.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-23 19:52 UTC
CWE
- CWE-340 - Generation of Predictable Numbers or Identifiers
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Google Cloud | Vertex AI Experiments |
Affected:
1.21.0 , < 1.133.0
(custom)
|
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-2473",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-23T19:52:07.113995Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-02-23T19:54:20.923Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Vertex AI Experiments",
"vendor": "Google Cloud",
"versions": [
{
"lessThan": "1.133.0",
"status": "affected",
"version": "1.21.0",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Omer Amiad"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cspan style=\"background-color: rgb(239, 250, 102);\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003ePredictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to\u0026nbsp;(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).\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cbr\u003eThis vulnerability was patched and no customer action is needed.\u003c/span\u003e\u003cbr\u003e"
}
],
"value": "Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to\u00a0(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."
}
],
"impacts": [
{
"capecId": "CAPEC-253",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-253 Remote Code Inclusion"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "CLEAR",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"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/U:Clear",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-340",
"description": "CWE-340 Generation of Predictable Numbers or Identifiers",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-02-20T19:39:51.015Z",
"orgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"shortName": "GoogleCloud"
},
"references": [
{
"url": "https://docs.cloud.google.com/support/bulletins#gcp-2026-012"
}
],
"source": {
"discovery": "EXTERNAL"
},
"tags": [
"exclusively-hosted-service"
],
"title": "Bucket Squatting in Vertex AI Experiments leads to RCE and Model Theft.",
"x_generator": {
"engine": "Vulnogram 0.5.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"assignerShortName": "GoogleCloud",
"cveId": "CVE-2026-2473",
"datePublished": "2026-02-20T19:39:51.015Z",
"dateReserved": "2026-02-13T15:41:59.549Z",
"dateUpdated": "2026-02-23T19:54:20.923Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-2473",
"date": "2026-09-21",
"epss": "0.00455",
"percentile": "0.38676"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Vertex AI Experiments",
"vendor": "Google Cloud",
"versions": [
{
"lessThan": "1.133.0",
"status": "affected",
"version": "1.21.0",
"versionType": "custom"
}
]
}
],
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
}
],
"cveTags": [
{
"sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"tags": [
"exclusively-hosted-service"
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to\u00a0(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 versi\u00f3n 1.21.0 hasta (pero sin incluir) la 1.133.0 en Google Cloud Platform permite a un atacante remoto no autenticado lograr ejecuci\u00f3n remota de c\u00f3digo entre inquilinos, robo de modelos y envenenamiento mediante la creaci\u00f3n previa de buckets de Cloud Storage con nombres predecibles (Bucket Squatting).\n\nEsta vulnerabilidad fue parcheada y no se requiere ninguna acci\u00f3n por parte del cliente."
}
],
"id": "CVE-2026-2473",
"lastModified": "2026-06-17T10:31:08.043",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "CLEAR",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"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",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-2473",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-23T19:52:07.113995Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-02-20T20:25:24.497",
"references": [
{
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"url": "https://docs.cloud.google.com/support/bulletins#gcp-2026-012"
}
],
"sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-340"
}
],
"source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-02-22T01:28:06+00:00",
"cve": "CVE-2026-2473",
"id": "CVE-2026-2473",
"initial_release_date": "2026-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Bucket Squatting in Vertex AI Experiments leads to RCE and Model Theft.",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-2473.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-2473",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-02-23T19:52:07.113995Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-02-23T19:52:32.652Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Vertex AI Experiments",
"vendor": "Google Cloud",
"versions": [
{
"lessThan": "1.133.0",
"status": "affected",
"version": "1.21.0",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "Omer Amiad"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cspan style=\"background-color: rgb(239, 250, 102);\"\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003ePredictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to\u0026nbsp;(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).\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cbr\u003eThis vulnerability was patched and no customer action is needed.\u003c/span\u003e\u003cbr\u003e"
}
],
"value": "Predictable bucket naming in Vertex AI Experiments in Google Cloud Vertex AI from version 1.21.0 up to\u00a0(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."
}
],
"impacts": [
{
"capecId": "CAPEC-253",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-253 Remote Code Inclusion"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "NETWORK",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "CLEAR",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "PASSIVE",
"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/U:Clear",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-340",
"description": "CWE-340 Generation of Predictable Numbers or Identifiers",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-02-20T19:39:51.015Z",
"orgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"shortName": "GoogleCloud"
},
"references": [
{
"url": "https://docs.cloud.google.com/support/bulletins#gcp-2026-012"
}
],
"source": {
"discovery": "EXTERNAL"
},
"tags": [
"exclusively-hosted-service"
],
"title": "Bucket Squatting in Vertex AI Experiments leads to RCE and Model Theft.",
"x_generator": {
"engine": "Vulnogram 0.5.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
"assignerShortName": "GoogleCloud",
"cveId": "CVE-2026-2473",
"datePublished": "2026-02-20T19:39:51.015Z",
"dateReserved": "2026-02-13T15:41:59.549Z",
"dateUpdated": "2026-02-23T19:54:20.923Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
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.
Loading…
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.
Loading…