CVE-2026-22743
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedSpring 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceThis is a Cypher injection vulnerability in Spring AI's Neo4jVectorFilterExpressionConverter. The doKey() method takes user-controlled strings as filter expression keys and embeds them into backtick-delimited Cypher property accessors (node.`metadata.`). It only strips double quotes without escaping embedded backticks, allowing attackers to inject malicious Cypher syntax by including backticks in the key.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data>= 1.0.0, < 1.0.5>= 1.1.0, < 1.1.4CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- None
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify Spring AI version in useCheck your project's dependency management file (pom.xml, build.gradle, or equivalent) for the spring-ai-core or spring-ai-neo4j-vectorstore dependency and note its version.Affected if The installed version falls within >= 1.0.0, < 1.0.5 or >= 1.1.0, < 1.1.4.
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Verify Neo4j vector store is configuredSearch your codebase for imports or references to Neo4jVectorStore, Neo4jVectorFilterExpressionConverter, or similar Neo4j vector-related classes.Affected if Your application uses Neo4j as a vector store and imports or instantiates Neo4jVectorFilterExpressionConverter.
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Check for filter expression usage in vector searchesSearch your codebase for calls to vector store search methods that accept filter parameters, particularly code passing user-controlled input to filter expressions.Affected if Your application passes user input as keys in filter expressions to Neo4j vector searches.
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Inspect the Neo4jVectorFilterExpressionConverter implementationLocate the Neo4jVectorFilterExpressionConverter class in your Spring AI library JAR and examine the doKey() method to confirm it only strips double quotes without escaping backticks.Affected if The doKey() method uses backtick-delimited property accessors (node.`property`) and lacks backtick escaping logic.
You are affected if your environment uses Spring AI versions 1.0.0 through 1.0.4 or 1.1.0 through 1.1.3 with Neo4j vector store and passes untrusted user input into filter expression keys.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped1.0.51.1.4
Upgrade to Spring AI version 1.0.5 or 1.1.4 or later which should contain proper backtick escaping. As a temporary workaround, validate and sanitize all user input before passing to Neo4jVectorFilterExpressionConverter.
Spring AI 1.0.5 or 1.1.4 (depending on your current major.minor line)
- 1. Identify your current Spring AI version by checking your dependency management (e.g., pom.xml, build.gradle, or your project's dependency lock file
- 2. If using Spring AI 1.0.x (versions 1.0.0-1.0.4), upgrade to version 1.0.5 by updating the spring-ai.version property or dependency to 1.0.5
- 3. If using Spring AI 1.1.x (versions 1.1.0-1.1.3), upgrade to version 1.1.4 by updating the spring-ai.version property or dependency to 1.1.4
- 4. Rebuild and test your application to ensure the upgrade does not introduce issues
- 5. If using spring-ai-neo4j-store, verify that the Neo4jVectorFilterExpressionConverter is no longer vulnerable to Cypher injection via filter expression keys
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation4.0 h
- Testing3.0 h
- Review / QA1.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $2,800.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-22743 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-22743 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Version or environment caveats, and links to real fixes
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