GSD-2023-41069
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
This issue was addressed by improving Face ID anti-spoofing models. This issue is fixed in iOS 17 and iPadOS 17. A 3D model constructed to look like the enrolled user may authenticate via Face ID.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-41069",
"id": "GSD-2023-41069"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-41069"
],
"details": "This issue was addressed by improving Face ID anti-spoofing models. This issue is fixed in iOS 17 and iPadOS 17. A 3D model constructed to look like the enrolled user may authenticate via Face ID.",
"id": "GSD-2023-41069",
"modified": "2023-12-13T01:20:45.444330Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "product-security@apple.com",
"ID": "CVE-2023-41069",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "iOS and iPadOS",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "unspecified",
"version_value": "17"
}
]
}
}
]
},
"vendor_name": "Apple"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "This issue was addressed by improving Face ID anti-spoofing models. This issue is fixed in iOS 17 and iPadOS 17. A 3D model constructed to look like the enrolled user may authenticate via Face ID."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "A 3D model constructed to look like the enrolled user may authenticate via Face ID"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://support.apple.com/en-us/HT213938",
"refsource": "MISC",
"url": "https://support.apple.com/en-us/HT213938"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:apple:ipados:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B511B802-B0A2-412D-ADA4-8B783BDF1880",
"versionEndExcluding": "17.0",
"vulnerable": true
},
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"matchCriteriaId": "E22CC7F9-F302-40B1-9B02-00FBC9805199",
"versionEndExcluding": "17.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "This issue was addressed by improving Face ID anti-spoofing models. This issue is fixed in iOS 17 and iPadOS 17. A 3D model constructed to look like the enrolled user may authenticate via Face ID."
},
{
"lang": "es",
"value": "Este problema se solucion\u00f3 mejorando los modelos anti-spoofing de Face ID. Este problema se solucion\u00f3 en iOS 17 y iPadOS 17. Un modelo 3D construido para parecerse al usuario registrado puede autenticarse a trav\u00e9s de Face ID."
}
],
"id": "CVE-2023-41069",
"lastModified": "2024-01-17T21:26:06.237",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2024-01-10T22:15:49.150",
"references": [
{
"source": "product-security@apple.com",
"tags": [
"Release Notes",
"Vendor Advisory"
],
"url": "https://support.apple.com/en-us/HT213938"
}
],
"sourceIdentifier": "product-security@apple.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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