FKIE_CVE-2026-33375
Vulnerability from fkie_nvd - Published: 2026-03-26 21:17 - Updated: 2026-06-17 13:20
Severity
Summary
The Grafana MSSQL data source plugin contains a logic flaw that allows a low-privileged user (Viewer) to bypass API restrictions and trigger a catastrophic Out-Of-Memory (OOM) memory exhaustion, crashing the host container.
References
| URL | Tags | ||
|---|---|---|---|
| security@grafana.com | https://grafana.com/security/security-advisories/cve-2026-33375 | Vendor Advisory |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Grafana OSS",
"vendor": "Grafana",
"versions": [
{
"lessThan": "11.6.14+security-01",
"status": "affected",
"version": "11.6.0",
"versionType": "semver"
},
{
"lessThan": "12.1.10+security-01",
"status": "affected",
"version": "12.1.0",
"versionType": "semver"
},
{
"lessThan": "12.2.8+security-01",
"status": "affected",
"version": "12.2.0",
"versionType": "semver"
},
{
"lessThan": "12.3.6+security-01",
"status": "affected",
"version": "12.3.0",
"versionType": "semver"
},
{
"lessThan": "12.4.2",
"status": "affected",
"version": "12.4.0",
"versionType": "semver"
}
]
}
],
"source": "security@grafana.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:grafana:grafana:*:*:*:*:-:*:*:*",
"matchCriteriaId": "D46EB6A0-D0D1-4209-B7B5-3BACD4ADAF9F",
"versionEndExcluding": "11.6.14",
"versionStartIncluding": "11.6.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:grafana:grafana:*:*:*:*:-:*:*:*",
"matchCriteriaId": "C0016311-847E-438D-A1C7-B03005867EAF",
"versionEndExcluding": "12.1.10",
"versionStartIncluding": "12.1.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:grafana:grafana:*:*:*:*:-:*:*:*",
"matchCriteriaId": "96AAB185-6025-4B8F-A07E-CABD00DDC295",
"versionEndExcluding": "12.2.8",
"versionStartIncluding": "12.2.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:grafana:grafana:*:*:*:*:-:*:*:*",
"matchCriteriaId": "581CC6E2-4E52-4E13-804B-8D944BA03D15",
"versionEndExcluding": "12.3.6",
"versionStartIncluding": "12.3.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:grafana:grafana:*:*:*:*:-:*:*:*",
"matchCriteriaId": "A699040D-CF1F-474F-A01D-49C6E62C026B",
"versionEndExcluding": "12.4.2",
"versionStartIncluding": "12.4.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Grafana MSSQL data source plugin contains a logic flaw that allows a low-privileged user (Viewer) to bypass API restrictions and trigger a catastrophic Out-Of-Memory (OOM) memory exhaustion, crashing the host container."
},
{
"lang": "es",
"value": "El plugin de fuente de datos de Grafana MSSQL contiene un fallo l\u00f3gico que permite a un usuario con pocos privilegios (Visor) eludir las restricciones de la API y desencadenar un agotamiento catastr\u00f3fico de la memoria por Out-Of-Memory (OOM), lo que provoca la ca\u00edda del contenedor anfitri\u00f3n."
}
],
"id": "CVE-2026-33375",
"lastModified": "2026-06-17T13:20:16.357",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security@grafana.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-33375",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-03-27T14:39:23.654250Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-03-26T21:17:05.573",
"references": [
{
"source": "security@grafana.com",
"tags": [
"Vendor Advisory"
],
"url": "https://grafana.com/security/security-advisories/cve-2026-33375"
}
],
"sourceIdentifier": "security@grafana.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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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