What is the CVSS score of CVE-2026-22743?

CVE-2026-22743 has a CVSS 3.1 base score of 7.5 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.0%.

Which versions of Java are affected by CVE-2026-22743?

Spring AI Neo4j vector store versions 1.0.0-1.0.4 and 1.1.0-1.1.3 contain a Cypher injection vulnerability that permits unauthenticated remote attackers to query and extract confidential data…. A patch is available.

How to fix or mitigate CVE-2026-22743?

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. Within 30 days: Monitor vendor advisories for patched releases and prepare upgrade testing; establish upgrade timeline once patches are released.

Java CVE-2026-22743

EUVD-2026-16539 HIGH

SQL Injection (CWE-89)

2026-03-27 vmware

GHSA-7cj7-rcw6-p68v

Java SQLi

7.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.5 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Re-analysis Queued

Apr 16, 2026 - 20:37 vuln.today

cvss_changed

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

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-neo4j-store (1 direct, 0 indirect)

Ecosystem-wide dependent count for version 1.0.0-M5.

DescriptionCVE.org

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.

AnalysisAI

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. CVSS score of 7.5 reflects high confidentiality impact with network accessibility and low attack complexity, though no public exploit has been identified at time of analysis.

Technical ContextAI

Spring AI is a framework for building AI applications with vector storage capabilities. The affected component, spring-ai-neo4j-store, provides vector database integration with Neo4j graph databases using the Cypher query language. According to CPE data (cpe:2.3:a:spring:spring_ai), the vulnerability affects the Spring AI product maintained by VMware. The Neo4jVectorFilterExpressionConverter's doKey() method constructs Cypher property accessors in the format node.metadata. by wrapping user input in backticks after removing only double quotes. Since backticks delimit identifiers in Cypher, an attacker can inject a backtick character in the filter key to terminate the property accessor early and append arbitrary Cypher syntax, effectively executing injection attacks similar to SQL injection but targeting Neo4j's graph query language.

RemediationAI

Upgrade Spring AI to version 1.0.5 or later for the 1.0.x branch, or to version 1.1.4 or later for the 1.1.x branch as documented in the vendor advisory at https://spring.io/security/cve-2026-22743. These patched versions implement proper escaping of backtick characters in the Neo4jVectorFilterExpressionConverter to prevent Cypher injection. Until patching is completed, implement strict input validation on any user-controlled data passed to filter expression keys by establishing an allowlist of permitted characters that excludes backticks, or avoid accepting user input for filter keys entirely by using predetermined filter templates. Additionally, apply principle of least privilege to Neo4j database credentials used by Spring AI to limit the scope of potential data exposure if exploitation occurs.