High severity · published Jun 15, 2026
CVE-2026-47835
Spring AI vector store metadata filtering to handle special characters in Elasticsearch, OpenSearch, and GemFire Vector Stores
7.5
CVSS
0.3%
EPSS
No
On KEV
Description
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).
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
High
Integrity
None
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.3% · higher than 23% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
SA
Spring AI · Spring
1.0.0 before 1.0.9; 1.1.0 before 1.1.8 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-47835
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-47835
Vendor Advisory
https://spring.io/security/cve-2026-47835
More from Spring AI
9.8
CVE-2026-59318
DefaultToolCallingManager Global Resolver Fallback Allows Unadvertised Tool Dispatch via Prompt Injection
9.8
CVE-2026-22738
SpEL Injection via Unescaped Filter Key in SimpleVectorStore Leads to Remote Code Execution
8.8
CVE-2026-40978
SQL injection vulnerability in Spring AI's `CosmosDBVectorStore` allows attackers to execute arbitrary SQL queries via crafted document IDs
8.6
CVE-2026-41705
Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs
8.6
CVE-2026-40967
In Spring AI, various FilterExpressionConverter implementations accept a filter expression object and translate them to specific vector store query languages