Vulnerability from bitnami_vulndb
Published
2026-04-21 12:04
Modified
2026-08-21 06:12
Summary
Grafana Correlations: Cross-Tenant Data Disclosure and Permanent Deletion via Legacy org_id=0 Record
Details
A cross-tenant isolation vulnerability was found in Grafana’s Correlations feature affecting legacy correlation records. Due to a backward compatibility condition allowing org_id = 0 records to be returned across organizations, a user with datasource management privileges could read and permanently delete legacy correlation data belonging to another organization. This issue affects correlations created prior to Grafana 10.2 and is fixed in >=11.6.11, >=12.0.9, >=12.1.6, and >=12.2.4.
Thanks to Gyu-hyeok Lee (g2h) for reporting this vulnerability.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "grafana",
"purl": "pkg:bitnami/grafana"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "11.6.11"
},
{
"introduced": "12.0.0"
},
{
"fixed": "12.0.9"
},
{
"introduced": "12.1.0"
},
{
"fixed": "12.1.6"
},
{
"introduced": "12.2.0"
},
{
"fixed": "12.2.4"
},
{
"introduced": "12.3.0"
},
{
"fixed": "12.3.3"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2026-21727"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:grafana:grafana:*:*:*:*:*:*:*:*"
],
"severity": "Low"
},
"details": "A cross-tenant isolation vulnerability was found in Grafana\u2019s Correlations feature affecting legacy correlation records. Due to a backward compatibility condition allowing org_id = 0 records to be returned across organizations, a user with datasource management privileges could read and permanently delete legacy correlation data belonging to another organization. This issue affects correlations created prior to Grafana 10.2 and is fixed in \u003e=11.6.11, \u003e=12.0.9, \u003e=12.1.6, and \u003e=12.2.4.\n\nThanks to Gyu-hyeok Lee (g2h) for reporting this vulnerability.",
"id": "BIT-grafana-2026-21727",
"modified": "2026-08-21T06:12:36.893Z",
"published": "2026-04-21T12:04:43.119Z",
"references": [
{
"type": "WEB",
"url": "https://grafana.com/security/security-advisories/cve-2026-21727"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21727"
}
],
"schema_version": "1.6.2",
"summary": "Grafana Correlations: Cross-Tenant Data Disclosure and Permanent Deletion via Legacy org_id=0 Record"
}
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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.
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.
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