CVE-2026-13720 (GCVE-0-2026-13720)
Vulnerability from cvelistv5 – Published: 2026-09-30 11:06 – Updated: 2026-09-30 11:06
VLAI
EPSS
VEX
Title
Editor can forge file-provisioning provenance on dashboards via the dashboard API
Summary
An Editor can set file-provisioning metadata (the grafana.app/managedBy, grafana.app/managerId and grafana.app/sourcePath annotations) when creating a dashboard through the dashboard API, because these fields were stored without an authorization check. The dashboard then appears file-provisioned, and administrators can no longer update or delete it through Grafana. The impact is limited to the same organization and no data is exposed.
Severity
5.4 (Medium)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://grafana.com/security/security-advisories/… | vendor-advisory |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Grafana | Grafana OSS |
Affected:
12.0.0 , ≤ 12.0.10
(semver)
Affected: 12.1.0 , ≤ 12.1.10 (semver) Affected: 12.2.0 , ≤ 12.2.11 (semver) Affected: 12.3.0 , ≤ 12.3.11 (semver) Affected: 12.4.0 , < 12.4.12 (semver) Affected: 13.0.0 , < 13.0.10 (semver) Affected: 13.1.0 , < 13.1.7 (semver) Affected: 13.2.0 , < 13.2.3 (semver) |
guessed | |
| Grafana | Grafana Enterprise |
Affected:
12.0.0 , ≤ 12.0.10
(semver)
Affected: 12.1.0 , ≤ 12.1.10 (semver) Affected: 12.2.0 , ≤ 12.2.11 (semver) Affected: 12.3.0 , ≤ 12.3.11 (semver) Affected: 12.4.0 , < 12.4.12 (semver) Affected: 13.0.0 , < 13.0.10 (semver) Affected: 13.1.0 , < 13.1.7 (semver) Affected: 13.2.0 , < 13.2.3 (semver) |
guessed |
Date Public
2026-09-29 07:44
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"descriptions": [
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}
],
"metrics": [
{
"cvssV3_1": {
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"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
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"providerMetadata": {
"dateUpdated": "2026-09-30T11:06:38.177Z",
"orgId": "57da9224-a3e2-4646-9d0e-c4dc2e05e7da",
"shortName": "GRAFANA"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://grafana.com/security/security-advisories/cve-2026-13720"
}
],
"source": {
"discovery": "BUG_BOUNTY"
},
"title": "Editor can forge file-provisioning provenance on dashboards via the dashboard API"
}
},
"cveMetadata": {
"assignerOrgId": "57da9224-a3e2-4646-9d0e-c4dc2e05e7da",
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"datePublished": "2026-09-30T11:06:38.177Z",
"dateReserved": "2026-06-29T14:11:02.739Z",
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"state": "PUBLISHED"
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"dataVersion": "5.2",
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"versionType": "semver"
},
{
"lessThanOrEqual": "12.1.10",
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{
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},
{
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"status": "affected",
"version": "12.4.0",
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},
{
"lessThan": "13.0.10",
"status": "affected",
"version": "13.0.0",
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},
{
"lessThan": "13.1.7",
"status": "affected",
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},
{
"lessThan": "13.2.3",
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]
},
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"vendor": "Grafana",
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{
"lessThanOrEqual": "12.1.10",
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},
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}
],
"id": "CVE-2026-13720",
"lastModified": "2026-09-30T11:16:43.893",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
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"attackVector": "NETWORK",
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"confidentialityImpact": "NONE",
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"url": "https://grafana.com/security/security-advisories/cve-2026-13720"
}
],
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}
]
}
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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