FKIE_CVE-2026-46645
Vulnerability from fkie_nvd - Published: 2026-06-10 23:16 - Updated: 2026-07-23 09:10
Severity
Summary
SQLAdmin is a flexible Admin interface for SQLAlchemy models. Prior to version 0.25.1, the ajax_lookup endpoint in application.py bypasses the is_accessible() access control check that all other endpoints enforce. If a developer restricts model access by overriding is_accessible(), an authenticated user can still query that model's data through the ajax_lookup endpoint — silently bypassing the restriction. This issue has been patched in version 0.25.1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "sqladmin",
"vendor": "smithyhq",
"versions": [
{
"status": "affected",
"version": "\u003c 0.25.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "SQLAdmin is a flexible Admin interface for SQLAlchemy models. Prior to version 0.25.1, the ajax_lookup endpoint in application.py bypasses the is_accessible() access control check that all other endpoints enforce. If a developer restricts model access by overriding is_accessible(), an authenticated user can still query that model\u0027s data through the ajax_lookup endpoint \u2014 silently bypassing the restriction. This issue has been patched in version 0.25.1."
},
{
"lang": "es",
"value": "SQLAdmin es una interfaz de administraci\u00f3n flexible para modelos de SQLAlchemy. Antes de la versi\u00f3n 0.25.1, el endpoint ajax_lookup en application.py omite la verificaci\u00f3n de control de acceso is_accessible() que todos los dem\u00e1s endpoints aplican. Si un desarrollador restringe el acceso a un modelo al sobrescribir is_accessible(), un usuario autenticado a\u00fan puede consultar los datos de ese modelo a trav\u00e9s del endpoint ajax_lookup - eludiendo silenciosamente la restricci\u00f3n. Este problema ha sido parcheado en la versi\u00f3n 0.25.1."
}
],
"id": "CVE-2026-46645",
"lastModified": "2026-07-23T09:10:00.113",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-46645",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-11T14:49:02.169261Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-10T23:16:47.310",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/smithyhq/sqladmin/commit/b0d3a19fb9b074a9ed243de46930108375dfbb98"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/smithyhq/sqladmin/pull/1035"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/smithyhq/sqladmin/releases/tag/0.25.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/smithyhq/sqladmin/security/advisories/GHSA-54mc-gghv-4cfj"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.
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