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.
Severity
{
"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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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.
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