FKIE_CVE-2026-40887
Vulnerability from fkie_nvd - Published: 2026-04-21 20:17 - Updated: 2026-06-17 10:45
Severity
Summary
Vendure is an open-source headless commerce platform. Starting in version 1.7.4 and prior to versions 2.3.4, 3.5.7, and 3.6.2, an unauthenticated SQL injection vulnerability exists in the Vendure Shop API. A user-controlled query string parameter is interpolated directly into a raw SQL expression without parameterization or validation, allowing an attacker to execute arbitrary SQL against the database. This affects all supported database backends (PostgreSQL, MySQL/MariaDB, SQLite). The Admin API is also affected, though exploitation there requires authentication. Versions 2.3.4, 3.5.7, and 3.6.2 contain a patch. For those who are unable to upgrade immediately, Vendure has made a hotfix available that uses `RequestContextService.getLanguageCode` to validate the `languageCode` input at the boundary. This blocks injection payloads before they can reach any query. The hotfix replaces the existing `getLanguageCode` method in `packages/core/src/service/helpers/request-context/request-context.service.ts`. Invalid values are silently dropped and the channel's default language is used instead. The patched versions additionally convert the vulnerable SQL interpolation to a parameterized query as defense in depth.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "vendure",
"vendor": "vendurehq",
"versions": [
{
"status": "affected",
"version": "\u003e= 3.0.0, \u003c 3.5.7"
},
{
"status": "affected",
"version": "\u003e= 3.6.0, \u003c 3.6.2"
},
{
"status": "affected",
"version": "\u003e= 1.7.4, \u003c 2.3.4"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Vendure is an open-source headless commerce platform. Starting in version 1.7.4 and prior to versions 2.3.4, 3.5.7, and 3.6.2, an unauthenticated SQL injection vulnerability exists in the Vendure Shop API. A user-controlled query string parameter is interpolated directly into a raw SQL expression without parameterization or validation, allowing an attacker to execute arbitrary SQL against the database. This affects all supported database backends (PostgreSQL, MySQL/MariaDB, SQLite). The Admin API is also affected, though exploitation there requires authentication. Versions 2.3.4, 3.5.7, and 3.6.2 contain a patch. For those who are unable to upgrade immediately, Vendure has made a hotfix available that uses `RequestContextService.getLanguageCode` to validate the `languageCode` input at the boundary. This blocks injection payloads before they can reach any query. The hotfix replaces the existing `getLanguageCode` method in `packages/core/src/service/helpers/request-context/request-context.service.ts`. Invalid values are silently dropped and the channel\u0027s default language is used instead. The patched versions additionally convert the vulnerable SQL interpolation to a parameterized query as defense in depth."
}
],
"id": "CVE-2026-40887",
"lastModified": "2026-06-17T10:45:49.667",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-40887",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-22T13:40:47.546973Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-21T20:17:02.397",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/vendurehq/vendure/security/advisories/GHSA-9pp3-53p2-ww9v"
}
],
"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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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