FKIE_CVE-2026-83980
Vulnerability from fkie_nvd - Published: 2026-09-08 18:21 - Updated: 2026-09-09 17:17
Severity
Summary
Heap-based buffer overflow in Windows Biometric Service allows an authorized attacker to elevate privileges locally.
References
| URL | Tags | ||
|---|---|---|---|
| secure@microsoft.com | https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-83980 | Patch, Vendor Advisory |
Impacted products
{
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{
"affectedData": [
{
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],
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{
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"product": "Windows 10 Version 1809",
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"versions": [
{
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},
{
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"ARM64-based Systems",
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],
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"vendor": "Microsoft",
"versions": [
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},
{
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"product": "Windows Server 2022",
"vendor": "Microsoft",
"versions": [
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"status": "affected",
"version": "10.0.20348.0",
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"status": "affected",
"version": "10.0.26100.0",
"versionType": "custom"
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]
}
],
"source": "secure@microsoft.com"
}
],
"configurations": [
{
"nodes": [
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Heap-based buffer overflow in Windows Biometric Service allows an authorized attacker to elevate privileges locally."
}
],
"id": "CVE-2026-83980",
"lastModified": "2026-09-09T17:17:48.977",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
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{
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{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-09T16:17:05.777626Z",
"version": "2.0.3"
}
}
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},
"published": "2026-09-08T18:21:08.163",
"references": [
{
"source": "secure@microsoft.com",
"tags": [
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],
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-83980"
}
],
"sourceIdentifier": "secure@microsoft.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-122"
}
],
"source": "secure@microsoft.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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