FKIE_CVE-2026-50544
Vulnerability from fkie_nvd - Published: 2026-08-13 00:17 - Updated: 2026-08-14 23:16
Severity
Summary
NortheBridge/luminalshine is a Sunshine-compatible game stream host for Moonlight. Prior to version 26.05.0-rc4, a latent gap exists on a default install, the file at `src/platform/windows/misc.cpp` lives at `C:\ProgramData\LuminalShine\config\apps.json` and is created by the `SYSTEM` service. Under Windows' default `C:\ProgramData` inheritance, that gives `BUILTIN\Users` only Read+Execute — not writable — so the canonical EoP doesn't actually trigger on a vanilla install. Version 26.05.0-rc4 contains a patch for the issue. As a workaround, use default condition DACLs for `ProgramData`.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "luminalshine",
"vendor": "NortheBridge",
"versions": [
{
"status": "affected",
"version": "\u003c 26.05.0-rc4"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "NortheBridge/luminalshine is a Sunshine-compatible game stream host for Moonlight. Prior to version 26.05.0-rc4, a latent gap exists on a default install, the file at `src/platform/windows/misc.cpp` lives at `C:\\ProgramData\\LuminalShine\\config\\apps.json` and is created by the `SYSTEM` service. Under Windows\u0027 default `C:\\ProgramData` inheritance, that gives `BUILTIN\\Users` only Read+Execute \u2014 not writable \u2014 so the canonical EoP doesn\u0027t actually trigger on a vanilla install. Version 26.05.0-rc4 contains a patch for the issue. As a workaround, use default condition DACLs for `ProgramData`."
}
],
"id": "CVE-2026-50544",
"lastModified": "2026-08-14T23:16:32.393",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 0.3,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-50544",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-14T22:23:37.675303Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-13T00:17:32.930",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/NortheBridge/luminalshine/security/advisories/GHSA-52q6-5x97-2747"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-379"
},
{
"lang": "en",
"value": "CWE-732"
}
],
"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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