CVE-2026-22743

| EUVD-2026-16539 HIGH
2026-03-27 vmware GHSA-7cj7-rcw6-p68v
7.5
CVSS 3.1
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CVSS Vector

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

Lifecycle Timeline

4
Patch Released
Mar 31, 2026 - 21:13 nvd
Patch available
EUVD ID Assigned
Mar 27, 2026 - 06:00 euvd
EUVD-2026-16539
Analysis Generated
Mar 27, 2026 - 06:00 vuln.today
CVE Published
Mar 27, 2026 - 05:33 nvd
HIGH 7.5

Description

Spring AI's spring-ai-neo4j-store contains a Cypher injection vulnerability in Neo4jVectorFilterExpressionConverter. When a user-controlled string is passed as a filter expression key in Neo4jVectorFilterExpressionConverter of spring-ai-neo4j-store, doKey() embeds the key into a backtick-delimited Cypher property accessor (node.`metadata.`) after stripping only double quotes, without escaping embedded backticks.This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4.

Analysis

Cypher injection in Spring AI Neo4j vector store (versions 1.0.0 through 1.0.4 and 1.1.0 through 1.1.3) allows unauthenticated remote attackers to access confidential data stored in Neo4j databases. The vulnerability exists in Neo4jVectorFilterExpressionConverter where user-controlled filter expression keys are embedded into Cypher property accessors without proper backtick escaping, enabling attackers to break out of the intended property context and execute arbitrary Cypher queries. …

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Remediation

Within 24 hours: Inventory all deployments of Spring AI Neo4j vector store and identify systems running versions 1.0.0-1.0.4 or 1.1.0-1.1.3. Within 7 days: Apply compensating controls (see below) to affected systems and restrict network access to Neo4j instances. …

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Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +38
POC: 0

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CVE-2026-22743 vulnerability details – vuln.today

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