CVE-2024-37287
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 · uneditedA flaw allowing arbitrary code execution was discovered in Kibana. An attacker with access to ML and Alerting connector features, as well as write access to internal ML indices can trigger a prototype pollution vulnerability, ultimately leading to arbitrary code execution.
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 confidenceKibana versions prior to the patch contain a prototype pollution vulnerability that can be triggered by an attacker with access to ML and Alerting connector features combined with write access to internal ML indices. This allows the attacker to pollute JavaScript object prototypes, ultimately achieving arbitrary code execution on the Kibana server.
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>= 7.7.0, < 7.17.23>= 8.0.0, < 8.14.2CVSS 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
- High
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
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 Kibana versionRun 'kibana --version' or check the version file in the Kibana installation directory, or query the Kibana API endpoint /api/statusAffected if The installed version is 7.7.0 through 7.17.22 inclusive, or 8.0.0 through 8.14.1 inclusive
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Confirm ML plugin is enabledCheck kibana.yml configuration file for 'ml.enabled: true' setting, or verify via /api/status ML plugin status endpointAffected if ML plugin is enabled (this is often enabled by default in many deployments)
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Verify Alerting connector accessCheck user/role permissions in Kibana Security settings for access to Alerting connector features, or review role-based access control configurationAffected if Users or roles have write access to Alerting connectors
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Check for write access to internal ML indicesReview Kibana role permissions or Elasticsearch index permissions for write access to .ml-* internal indicesAffected if Any user has write permissions to internal ML indices (.ml-*) combined with ML and Alerting access
You are affected if your Kibana version falls within the vulnerable ranges AND both ML plugin and Alerting connector features are accessible to users who also have write access to internal ML indices.
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 · scoped7.17.238.14.2
Upgrade Kibana to the version containing the security patch. Restrict access to ML and Alerting connector features and limit write access to internal ML indices until the patch is applied.
Kibana 7.17.23 or 8.14.2 (depending on your major version branch)
- 1. Verify current Kibana version by checking the Kibana logs or status endpoint
- 2. Schedule a maintenance window for the upgrade process
- 3. Take a backup of Kibana configuration and data directories
- 4. Upgrade Kibana to version 7.17.23 (for 7.x deployments) or 8.14.2 (for 8.x deployments)
- 5. Verify the upgrade was successful by checking Kibana status and logs
- 6. Confirm that ML and Alerting connector features are functioning correctly post-upgrade
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation4.0 h
- Testing8.0 h
- Review / QA4.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2024-37287 — 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-2024-37287 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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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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