Grafana Correlations: Cross-Tenant Legacy Data Disclosure/Deletion (10.2)
CVE-2026-21727 Published on April 15, 2026

Grafana Correlations: Cross-Tenant Data Disclosure and Permanent Deletion via Legacy org_id=0 Record
--- title: Cross-Tenant Legacy Correlation Disclosure and Deletion draft: false hero: image: /static/img/heros/hero-legal2.svg content: "# Cross-Tenant Legacy Correlation Disclosure and Deletion" date: 2026-01-29 product: Grafana severity: Low cve: CVE-2026-21727 cvss_score: "3.3" cvss_vector: "CVSS:3.3/AV:N/AC:H/PR:H/UI:N/S:U/C:L/I:L/A:N" fixed_versions: - ">=11.6.11 >=12.0.9 >=12.1.6 >=12.2.4" --- A cross-tenant isolation vulnerability was found in Grafanas 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.

Vendor Advisory NVD

Weakness Type

Incorrect Permission Assignment for Critical Resource

The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors. When a resource is given a permissions setting that provides access to a wider range of actors than required, it could lead to the exposure of sensitive information, or the modification of that resource by unintended parties. This is especially dangerous when the resource is related to program configuration, execution or sensitive user data.


Products Associated with CVE-2026-21727

Want to know whenever a new CVE is published for Grafana Labs Grafana? stack.watch will email you.

Grafana Labs Grafana
 

Affected Versions

Grafana Correlations:

Exploit Probability

EPSS
0.02%
Percentile
4.02%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.