FKIE_CVE-2026-54050
Vulnerability from fkie_nvd - Published: 2026-09-15 18:17 - Updated: 2026-09-25 14:23
Severity
Summary
Sakai is a Collaboration and Learning Environment (CLE). From 23.0 until 23.5 and 25.3, the DELETE /api/users/{userId}/profile/image endpoint allows an authenticated user to delete another user's profile image because ProfileController.removeProfileImage() passes the attacker-controlled userId to ProfileServiceImpl.removeProfileImage() without verifying ownership, and profileImageUploadedRepository.deleteById(userId) removes the selected row. The related DELETE /api/users/{userId}/profile/pronunciation endpoint also omits session validation and ownership checks before ProfileServiceImpl.removePronunciationRecording() deletes the target user's recording. The upload path is not affected because it already verifies ownership, and superusers remain intentionally authorized to modify other profiles. Successful exploitation can repeatedly remove profile identity artifacts, including administrator and instructor images, and disrupt workflows that rely on those artifacts. This issue is fixed in versions 23.5, 25.3, and 26.0.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "sakai",
"vendor": "sakaiproject",
"versions": [
{
"status": "affected",
"version": "\u003e= 23.0, \u003c 23.5"
},
{
"status": "affected",
"version": "\u003e= 25.0, \u003c= 25.2"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Sakai is a Collaboration and Learning Environment (CLE). From 23.0 until 23.5 and 25.3, the DELETE /api/users/{userId}/profile/image endpoint allows an authenticated user to delete another user\u0027s profile image because ProfileController.removeProfileImage() passes the attacker-controlled userId to ProfileServiceImpl.removeProfileImage() without verifying ownership, and profileImageUploadedRepository.deleteById(userId) removes the selected row. The related DELETE /api/users/{userId}/profile/pronunciation endpoint also omits session validation and ownership checks before ProfileServiceImpl.removePronunciationRecording() deletes the target user\u0027s recording. The upload path is not affected because it already verifies ownership, and superusers remain intentionally authorized to modify other profiles. Successful exploitation can repeatedly remove profile identity artifacts, including administrator and instructor images, and disrupt workflows that rely on those artifacts. This issue is fixed in versions 23.5, 25.3, and 26.0."
}
],
"id": "CVE-2026-54050",
"lastModified": "2026-09-25T14:23:59.847",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54050",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-15T18:59:51.482620Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-15T18:17:22.533",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/sakaiproject/sakai/commit/a092dbf3dc6bf343131f50007c207a9abd95e852"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/sakaiproject/sakai/security/advisories/GHSA-9284-fjc3-fmmj"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/sakaiproject/sakai/security/advisories/GHSA-9284-fjc3-fmmj"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"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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