CVE-2026-47852 (GCVE-0-2026-47852)
Vulnerability from cvelistv5 – Published: 2026-08-26 23:28 – Updated: 2026-08-26 23:28
VLAI
EPSS
VEX
Title
Predictable cache directory location allows local ONNX model substitution in Spring AI
Summary
A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file.
Spring AI 2.0.0
Spring AI 1.1.0 - 1.1.8
Spring AI 1.0.0 - 1.0.9
Severity
7.5 (High)
Assigner
References
1 reference
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Spring AI",
"vendor": "Spring",
"versions": [
{
"status": "affected",
"version": "2.0.0",
"versionType": "custom"
},
{
"lessThanOrEqual": "1.1.8",
"status": "affected",
"version": "1.1.0",
"versionType": "custom"
},
{
"lessThanOrEqual": "1.0.9",
"status": "affected",
"version": "1.0.0",
"versionType": "custom"
}
]
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eA local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file.\u003c/p\u003e\u003cp\u003eSpring AI 2.0.0\u003cbr/\u003eSpring AI 1.1.0 - 1.1.8\u003cbr/\u003eSpring AI 1.0.0 - 1.0.9\u003c/p\u003e"
}
],
"value": "A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file.\nSpring AI 2.0.0\nSpring AI 1.1.0 - 1.1.8\nSpring AI 1.0.0 - 1.0.9"
}
],
"impacts": [
{
"descriptions": [
{
"lang": "en",
"value": "A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file."
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "CWE-377 Insecure Temporary File",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-26T23:28:42.767Z",
"orgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
"shortName": "vmware"
},
"references": [
{
"url": "https://spring.io/security/cve-2026-47852"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Predictable cache directory location allows local ONNX model substitution in Spring AI"
}
},
"cveMetadata": {
"assignerOrgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
"assignerShortName": "vmware",
"cveId": "CVE-2026-47852",
"datePublished": "2026-08-26T23:28:42.767Z",
"dateReserved": "2026-05-20T10:00:53.147Z",
"dateUpdated": "2026-08-26T23:28:42.767Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-47852\",\"sourceIdentifier\":\"security@vmware.com\",\"published\":\"2026-08-27T01:17:32.320\",\"lastModified\":\"2026-08-27T01:17:32.320\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"A local attacker on a multi-user host can pre-create the deterministic cache path and plant a malicious ONNX model file.\\nSpring AI 2.0.0\\nSpring AI 1.1.0 - 1.1.8\\nSpring AI 1.0.0 - 1.0.9\"}],\"affected\":[{\"source\":\"security@vmware.com\",\"affectedData\":[{\"vendor\":\"Spring\",\"product\":\"Spring AI\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"2.0.0\",\"versionType\":\"custom\",\"status\":\"affected\"},{\"version\":\"1.1.0\",\"lessThanOrEqual\":\"1.1.8\",\"versionType\":\"custom\",\"status\":\"affected\"},{\"version\":\"1.0.0\",\"lessThanOrEqual\":\"1.0.9\",\"versionType\":\"custom\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@vmware.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}]},\"references\":[{\"url\":\"https://spring.io/security/cve-2026-47852\",\"source\":\"security@vmware.com\"}]}}"
}
}
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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.
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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.
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.
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