FKIE_CVE-2026-54658
Vulnerability from fkie_nvd - Published: 2026-07-28 23:17 - Updated: 2026-08-04 21:16
Severity
Summary
Hypequery is a TypeScript semantic layer for ClickHouse. Prior to 2.5.1, escapeValue() in packages/clickhouse/src/core/utils.ts did not escape backslashes before single quotes during parameter substitution, allowing attacker controlled query parameters with a trailing backslash to escape the closing quote and inject arbitrary SQL. This issue is fixed in version 2.0.2. Version 2.0.2 fixes string parameters, while version 2.5.1 fixes all known vectors. Upgrading to 2.5.1 or later is the only complete fix. In versions 2.0.2 through 2.5.0, serializing non-scalar parameters with JSON.stringify() before passing them is a workaround for the object/array vector only.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "hypequery",
"vendor": "hypequery",
"versions": [
{
"status": "affected",
"version": "\u003c 2.5.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Hypequery is a TypeScript semantic layer for ClickHouse. Prior to 2.5.1, escapeValue() in packages/clickhouse/src/core/utils.ts did not escape backslashes before single quotes during parameter substitution, allowing attacker controlled query parameters with a trailing backslash to escape the closing quote and inject arbitrary SQL. This issue is fixed in version 2.0.2. Version 2.0.2 fixes string parameters, while version 2.5.1 fixes all known vectors. Upgrading to 2.5.1 or later is the only complete fix. In versions 2.0.2 through 2.5.0, serializing non-scalar parameters with \u00a0JSON.stringify()\u00a0 before passing them is a workaround for the object/array vector only."
}
],
"id": "CVE-2026-54658",
"lastModified": "2026-08-04T21:16:36.853",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54658",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-29T12:31:44.779876Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-28T23:17:08.913",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/blob/main/packages/clickhouse/CHANGELOG.md#202"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/commit/2879161a810fed2c2222f785816ff05510976960"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/commit/2dc1df7bae"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/commit/4dfa9d77d70a08b970e722268b75ca7d13db0bdf"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/pull/349"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/releases/tag/@hypequery/clickhouse@2.0.2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/releases/tag/@hypequery/clickhouse@2.5.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/hypequery/hypequery/security/advisories/GHSA-6wcc-39rp-hh9p"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "security-advisories@github.com",
"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.
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.
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