CVE-2026-15815 (GCVE-0-2026-15815)
Vulnerability from cvelistv5 – Published: 2026-09-17 20:47 – Updated: 2026-09-18 14:31
VLAI
EPSS
VEX
Title
CVE-2026-15815 CVE Record
Summary
Grafana OSS and Grafana Enterprise did not safely resolve symbolic links when
extracting plugin archives. A crafted plugin archive can chain relative symbolic link
entries to escape the plugin installation directory, writing arbitrary files and an
executable backend binary outside that directory. The dropped executable runs with the
privileges of the Grafana server process, resulting in remote code execution.
Plugin archives are extracted before their signature is verified, so a valid plugin
signature does not prevent the write. An operator can therefore be affected by
installing a plugin that appears legitimate, as well as by installing a plugin from an
arbitrary archive using grafana-cli, the GF_INSTALL_PLUGINS environment variable, or
preinstall configuration.
Grafana Enterprise is affected because it includes the same plugin extraction code as
Grafana OSS.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-18 14:26 UTC
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:
11.6.0 , ≤ 11.6.17
(semver)
Affected: 12.0.0 (semver) Affected: 12.1.0 (semver) Affected: 12.2.0 (semver) Affected: 12.3.0 (semver) Affected: 12.4.0 , ≤ 12.4.10 (semver) Affected: 13.0.0 , ≤ 13.0.8 (semver) Affected: 13.1.0 , ≤ 13.1.5 (semver) Affected: 13.2.0 , ≤ 13.2.1 (semver) |
guessed | |
| Grafana | Grafana Enterprise |
Affected:
11.6.0 , ≤ 11.6.17
(semver)
Affected: 12.0.0 (semver) Affected: 12.1.0 (semver) Affected: 12.2.0 (semver) Affected: 12.3.0 (semver) Affected: 12.4.0 , ≤ 12.4.10 (semver) Affected: 13.0.0 , ≤ 13.0.8 (semver) Affected: 13.1.0 , ≤ 13.1.5 (semver) Affected: 13.2.0 , ≤ 13.2.1 (semver) |
guessed |
Date Public
2026-08-15 11:19
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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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