Cyber Resilience

CVE-2026-47835

High

Published: 15 June 2026

Published
15 June 2026
Modified
17 June 2026
KEV Added
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Patch
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CVSS Score v3.1 8.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
EPSS Score 0.0025 16.7th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-47835 is a high-severity Improper Neutralization of Special Elements in Data Query Logic (CWE-943) vulnerability in Vmware Spring Ai. Its CVSS base score is 8.6 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 16.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

In Spring AI Vector Stores, special characters could be used to force the execution of arbitrary queries in Elasticsearch, OpenSearch, and GemFire VectorDB. Affected components: spring-ai-elasticsearch-store, spring-ai-opensearch-store, spring-ai-gemfire-store. Affected versions: Spring AI 1.0.0 through 1.0.x (fix 1.0.9). Spring AI 1.1.0…

more

through 1.1.x (fix 1.1.8).

CWE(s)
CWE-943

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
Why these techniques?

CVE describes injection of special characters to execute arbitrary DB queries in vector stores, directly enabling exploitation of a public-facing application.

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

Affected Assets

vmware
spring ai
1.0.0 — 1.0.9 · 1.1.0 — 1.1.8

Mitigating Controls

No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.

References