CVE intelligence and bounded remediation

CVE-2026-47835 — Vmware Spring Ai security vulnerability

High CVSS 8.6

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 through 1.1.x (fix 1.1.8).

Severity
High
CVSS
8.6 (3.1)
Published
2026-06-15
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-943

Affected products

  • vmware / spring_ai

Showing 1 representative product identities from 2 source matches. Confirm exact affected versions with the linked vendor and NVD evidence.

Matched remediation archetype

SQL and data-query injection

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Check exposure

  • Trace request, message, file, and stored values into SQL, ORM query fragments, filters, sort expressions, and other data-query languages.
  • Inventory database roles, reachable schemas, multi-tenant boundaries, and whether stacked or administrative operations are enabled.
  • Check both direct queries and second-order use of previously stored values.

Remediate safely

  • Use parameterized queries or safe query builders for all values; map identifiers and operators through explicit allowlists.
  • Remove raw query concatenation and give the application account only the tables and operations it requires.
  • Update affected data-access components and add regression tests for query structure preservation with inert edge-case inputs.

Authoritative sources

Complete CVE record and remediation plan

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