FKIE_CVE-2026-48009
Vulnerability from fkie_nvd - Published: 2026-07-17 18:17 - Updated: 2026-07-17 20:17
Severity
Summary
Shopware is an open commerce platform. Prior to 6.6.10.18 and 6.7.10.1, a low-privilege admin user with user_recovery:read ACL can take over any admin account by triggering POST /api/_action/user/user-recovery, reading the password recovery hash through POST /api/search/user-recovery, and using PATCH /api/_action/user/user-recovery/password; the root cause is that src/Core/System/User/Recovery/UserRecoveryDefinition.php exposes the hash field through the Admin API without ApiAware(false) or ReadProtection. This issue is fixed in versions 6.6.10.18 and 6.7.10.1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "shopware",
"vendor": "shopware",
"versions": [
{
"status": "affected",
"version": "\u003c 6.6.10.18"
},
{
"status": "affected",
"version": "\u003e= 6.7.0.0, \u003c 6.7.10.1"
}
]
},
{
"product": "platform",
"vendor": "shopware",
"versions": [
{
"status": "affected",
"version": "\u003c 6.6.10.18"
},
{
"status": "affected",
"version": "\u003e= 6.7.0.0, \u003c 6.7.10.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Shopware is an open commerce platform. Prior to 6.6.10.18 and 6.7.10.1, a low-privilege admin user with user_recovery:read ACL can take over any admin account by triggering POST /api/_action/user/user-recovery, reading the password recovery hash through POST /api/search/user-recovery, and using PATCH /api/_action/user/user-recovery/password; the root cause is that src/Core/System/User/Recovery/UserRecoveryDefinition.php exposes the hash field through the Admin API without ApiAware(false) or ReadProtection. This issue is fixed in versions 6.6.10.18 and 6.7.10.1."
}
],
"id": "CVE-2026-48009",
"lastModified": "2026-07-17T20:17:19.973",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 5.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-48009",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-17T19:07:28.860336Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-17T18:17:15.863",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/commit/06f8b9aa4fecb239a2ff33a6546192d7ce7ed0f8"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/commit/9ef4873f810e26fb38da051624f7f2720139279a"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/commit/d82c23d8d5b22dd722c8f76c4f66785d1a7a72d8"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/releases/tag/v6.6.10.18"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/releases/tag/v6.7.10.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/shopware/shopware/security/advisories/GHSA-8v9p-g828-v98f"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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