Vulnerability-Lookup

Vulnerability from bitnami_vulndb

Published

2024-10-22 07:09

Modified

2026-09-08 08:34

Summary

Grafana SQL Expressions allow for remote code execution

Details

The SQL Expressions experimental feature of Grafana allows for the evaluation of duckdb queries containing user input. These queries are insufficiently sanitized before being passed to duckdb, leading to a command injection and local file inclusion vulnerability. Any user with the VIEWER or higher permission is capable of executing this attack. The duckdb binary must be present in Grafana's $PATH for this attack to function; by default, this binary is not installed in Grafana distributions.

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "grafana",
        "purl": "pkg:bitnami/grafana"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "11.0.0"
            },
            {
              "fixed": "11.2.2"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "type": "CVSS_V4"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-9264"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:grafana:grafana:*:*:*:*:*:go:*:*"
    ],
    "severity": "Critical"
  },
  "details": "The SQL Expressions experimental feature of Grafana allows for the evaluation of `duckdb` queries containing user input. These queries are insufficiently sanitized before being passed to `duckdb`, leading to a command injection and local file inclusion vulnerability. Any user with the VIEWER or higher permission is capable of executing this attack.  The `duckdb` binary must be present in Grafana\u0027s $PATH for this attack to function; by default, this binary is not installed in Grafana distributions.",
  "id": "BIT-grafana-2024-9264",
  "modified": "2026-09-08T08:34:36.952Z",
  "published": "2024-10-22T07:09:52.003Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://grafana.com/security/security-advisories/cve-2024-9264/"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20250314-0007/"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-9264"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Grafana SQL Expressions allow for remote code execution"
}

CVE-2024-9264 (GCVE-0-2024-9264)

Vulnerability from cvelistv5 – Published: 2024-10-18 03:20 – Updated: 2025-03-14 10:03

Title

Grafana SQL Expressions allow for remote code execution

Summary

The SQL Expressions experimental feature of Grafana allows for the evaluation of `duckdb` queries containing user input. These queries are insufficiently sanitized before being passed to `duckdb`, leading to a command injection and local file inclusion vulnerability. Any user with the VIEWER or higher permission is capable of executing this attack. The `duckdb` binary must be present in Grafana's $PATH for this attack to function; by default, this binary is not installed in Grafana distributions.

Severity

9.4 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

9.9 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-31 00:00 UTC

CWE

CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

GRAFANA mitre root

References

2 references

URL	Tags
https://grafana.com/security/security-advisories/…
https://security.netapp.com/advisory/ntap-2025031…

Impacted products

2 products

Vendor	Product	Version
Grafana	Grafana	Affected: 11.0.0 , < 11.0.5 (semver) Affected: 11.1.0 , < 11.1.6 (semver) Affected: 11.2.0 , < 11.2.1 (semver) Affected: 11.0.0 , < 11.0.6 (semver) Affected: 11.1.0 , < 11.1.7 (semver) Affected: 11.2.0 , < 11.2.2 (semver)
grafana	grafana	Affected: 11.0.0 , < 11.0.5\+security-01 (semver) Affected: 11.0.6 , < 11.0.6\+security-01 (semver) Affected: 11.1.0 , < 11.1.6\+security-01 (semver) Affected: 11.1.7 , < 11.1.7\+security-01 (semver) Affected: 11.2.0 , < 11.2.1\+security-01 (semver) Affected: 11.2.2 , < 11.2.2\+security-01 (semver) cpe:2.3:a:grafana:grafana::::::::

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.