CVE-2026-49094
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 · uneditedUncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered.
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 confidenceAn authenticated user with viewer-level access can submit oversized input values to Kibana's analytics collections management endpoint, causing excessive CPU and memory consumption during processing. This renders Kibana unavailable to all users until manually recovered.
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>= 8.0.0, < 8.19.16CVSS 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
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- None
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/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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Check installed Kibana versionRun `kibana --version` or check the version from the Kibana welcome page, or query the status endpoint at `GET /api/status`Affected if Version is 8.0.0 or higher but lower than 8.19.16
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Verify analytics collections feature is accessibleCheck if the Kibana analytics collections API endpoint `/api/analytics/collections` exists and responds to requests. This can be confirmed by reviewing Kibana plugin configuration or testing the endpoint with an authenticated userAffected if Analytics collections feature is enabled and accessible to users
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Confirm viewer role user access to analyticsReview Kibana role mappings to determine if users with viewer-level privileges are assigned roles that grant access to the analytics collections management API. Check role definitions under Security or Stack Management > RolesAffected if Viewer-role users have permissions to access or manage analytics collections through the API
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Check for external request size limitsInspect any reverse proxy, load balancer, or API gateway configuration (e.g., nginx, HAProxy, AWS API Gateway) sitting in front of Kibana for request body size limits or input validation rulesAffected if No request size limit or input validation is configured upstream from Kibana that would block oversized parameter values
Environment is affected if running Kibana version 8.0.0 through 8.19.15, the analytics collections feature is accessible, and viewer-role users can submit requests to the analytics collections management endpoint without external input validation or size limits in place.
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 · scoped8.19.16
Implement strict input size validation and request limits on analytics collections endpoints, and apply rate limiting for viewer-level users to prevent resource exhaustion attacks.
8.19.16 or later
- 1. Back up your Kibana configuration and data directory before proceeding
- 2. Download Kibana version 8.19.16 or later from elastic.co/downloads/kibana
- 3. Stop the Kibana service (e.g., systemctl stop kibana or equivalent)
- 4. Install the new Kibana version using your package manager or manual extraction
- 5. Start the Kibana service (e.g., systemctl start kibana or equivalent)
- 6. Verify Kibana is operational and the analytics collections endpoint is functioning normally
- 7. Confirm the vulnerability is resolved by testing with a viewer-level account
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation3.0 h
- Implementation6.0 h
- Testing3.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-49094 — 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-2026-49094 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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