GHSA-R49G-35QJ-7264

Vulnerability from github – Published: 2026-08-04 18:31 – Updated: 2026-08-04 18:31
VLAI
Details

OpenMeter contains a stored, or second-order, SQL injection vulnerability in the handling of customer usage-attribution values.

An attacker who can create or update a customer can store a malicious value in the usageAttribution.key or usageAttribution.subjectKeys fields. When that customer is subsequently used in a meter or event query, OpenMeter inserts the stored value into a ClickHouse WITH map(...) expression using string concatenation.

OpenMeter versions from v1.0.0-beta.218 through v1.0.0-beta.231 are affected.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-18801"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-04T16:16:22Z",
    "severity": "CRITICAL"
  },
  "details": "OpenMeter contains a stored, or second-order, SQL injection vulnerability in the handling of customer usage-attribution values.\n\n\n\nAn attacker who can create or update a customer can store a malicious value in the usageAttribution.key or usageAttribution.subjectKeys fields. When that customer is subsequently used in a meter or event query, OpenMeter inserts the stored value into a ClickHouse WITH map(...) expression using string concatenation.\n\nOpenMeter versions from v1.0.0-beta.218 through v1.0.0-beta.231 are affected.",
  "id": "GHSA-r49g-35qj-7264",
  "modified": "2026-08-04T18:31:26Z",
  "published": "2026-08-04T18:31:26Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/openmeterio/openmeter/security/advisories/GHSA-m2fw-9wxq-jgf5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18801"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:H/SC:H/SI:L/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"
    }
  ]
}



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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.

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