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Spring AI CVE-2026-40978

| EUVDEUVD-2026-26011 HIGH
SQL Injection (CWE-89)
2026-04-28 security@vmware.com GHSA-63c8-m9m2-cvr3
8.8
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

7
Patch released
Apr 29, 2026 - 18:16 nvd
Patch available
Re-analysis Queued
Apr 28, 2026 - 20:23 vuln.today
cvss_changed
Patch available
Apr 28, 2026 - 10:01 EUVD
Analysis Generated
Apr 28, 2026 - 09:30 vuln.today
EUVD ID Assigned
Apr 28, 2026 - 09:22 euvd
EUVD-2026-26011
Analysis Generated
Apr 28, 2026 - 09:22 vuln.today
CVE Published
Apr 28, 2026 - 09:16 nvd
HIGH 8.8

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 1 maven packages depend on org.springframework.ai:spring-ai-azure-cosmos-db-store (1 direct, 0 indirect)

Ecosystem-wide dependent count for version 1.0.0.

DescriptionCVE.org

SQL injection vulnerability in Spring AI's CosmosDBVectorStore allows attackers to execute arbitrary SQL queries via crafted document IDs.

Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)

AnalysisAI

SQL injection in Spring AI's CosmosDBVectorStore component (versions 1.0.0-1.0.5 and 1.1.0-1.1.4) enables authenticated remote attackers to execute arbitrary SQL queries through malicious document IDs, potentially achieving full database compromise including data exfiltration, modification, and denial of service. VMware has released patches in versions 1.0.6 and 1.1.5. CVSS score of 8.8 reflects high impact across confidentiality, integrity, and availability, though exploitation requires low-privilege authenticated access to the vector store API.

Technical ContextAI

Spring AI is a Java framework for building AI applications with vector database integrations. The CosmosDBVectorStore component provides integration with Azure Cosmos DB for vector similarity search operations. This CWE-89 SQL injection vulnerability occurs when user-controlled document IDs are improperly sanitized before being incorporated into SQL queries sent to the underlying Cosmos DB. The vulnerability affects the document ID parameter handling, which should be treated as untrusted input but is instead passed directly into SQL query construction. Standard SQL injection attack techniques apply: attackers can break out of the intended query context using metacharacters, append malicious SQL statements, or use UNION-based injection to extract arbitrary data from the database.

RemediationAI

Upgrade to Spring AI version 1.0.6 (for 1.0.x series users) or version 1.1.5 (for 1.1.x series users), both of which contain fixes for the SQL injection vulnerability per VMware's security advisory at https://spring.io/security/cve-2026-40978. If immediate patching is not feasible, implement strict input validation on document IDs before they reach the CosmosDBVectorStore API: whitelist alphanumeric characters only, reject any IDs containing SQL metacharacters (quotes, semicolons, dashes, parentheses), and enforce maximum length limits. Additionally, ensure the Cosmos DB connection uses a database account with minimum necessary privileges (read/write to specific collections only, no admin rights) to limit blast radius if SQL injection occurs. Network segmentation to restrict Cosmos DB access to application servers only provides defense-in-depth but does not prevent authenticated application users from exploiting the vulnerability. These workarounds reduce but do not eliminate risk - patching remains the only complete remediation.

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CVE-2026-40978 vulnerability details – vuln.today

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