CVE-2026-21729 (GCVE-0-2026-21729)

Vulnerability from cvelistv5 – Published: 2026-07-16 03:12 – Updated: 2026-07-16 03:12
VLAI
Title
Loki detected_fields query limits results in unbounded memory allocation
Summary
Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy.
Assigner
References
Impacted products
Vendor Product Version
Grafana Loki Affected: v3.0.0 , < v3.7.0 (semver)
Create a notification for this product.
Date Public
2026-02-23 07:50
Show details on NVD website

{
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      "affected": [
        {
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          "platforms": [
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            "Cloud"
          ],
          "product": "Loki",
          "vendor": "Grafana",
          "versions": [
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              "lessThan": "v3.7.0",
              "status": "affected",
              "version": "v3.0.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "datePublic": "2026-02-23T07:50:28.948Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          }
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-16T03:12:07.912Z",
        "orgId": "57da9224-a3e2-4646-9d0e-c4dc2e05e7da",
        "shortName": "GRAFANA"
      },
      "references": [
        {
          "tags": [
            "vendor-advisory"
          ],
          "url": "https://grafana.com/security/security-advisories/cve-2026-21729"
        }
      ],
      "source": {
        "discovery": "INTERNAL_FINDING"
      },
      "title": "Loki detected_fields query limits results in unbounded memory allocation",
      "x_generator": {
        "engine": "cvelib 1.8.0"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "57da9224-a3e2-4646-9d0e-c4dc2e05e7da",
    "assignerShortName": "GRAFANA",
    "cveId": "CVE-2026-21729",
    "datePublished": "2026-07-16T03:12:07.912Z",
    "dateReserved": "2026-01-05T09:26:06.215Z",
    "dateUpdated": "2026-07-16T03:12:07.912Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-21729\",\"sourceIdentifier\":\"security@grafana.com\",\"published\":\"2026-07-16T04:17:29.260\",\"lastModified\":\"2026-07-16T04:17:29.260\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Loki queries with large limits can cause large memory allocations which can impact the availability of the service, depending on its deployment strategy.\"}],\"affected\":[{\"source\":\"security@grafana.com\",\"affectedData\":[{\"vendor\":\"Grafana\",\"product\":\"Loki\",\"defaultStatus\":\"unaffected\",\"platforms\":[\"OnPrem\",\"Cloud\"],\"versions\":[{\"version\":\"v3.0.0\",\"lessThan\":\"v3.7.0\",\"versionType\":\"semver\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@grafana.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}]},\"references\":[{\"url\":\"https://grafana.com/security/security-advisories/cve-2026-21729\",\"source\":\"security@grafana.com\"}]}}"
  }
}



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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

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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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