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cve[email protected]CVE-2019-8760
HistoryDec 18, 2019 - 6:15 p.m.

CVE-2019-8760

2019-12-1818:15:00
CWE-287
web.nvd.nist.gov
36
cve-2019-8760
face id
machine learning
ios 13
authentication

6.8 Medium

CVSS3

Attack Vector

PHYSICAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

8.3 High

AI Score

Confidence

High

4.6 Medium

CVSS2

Access Vector

LOCAL

Access Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:P/A:P

0.001 Low

EPSS

Percentile

29.1%

This issue was addressed by improving Face ID machine learning models. This issue is fixed in iOS 13. A 3D model constructed to look like the enrolled user may authenticate via Face ID.

CPENameOperatorVersion
apple:iphone_osapple iphone oslt13.0

6.8 Medium

CVSS3

Attack Vector

PHYSICAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

8.3 High

AI Score

Confidence

High

4.6 Medium

CVSS2

Access Vector

LOCAL

Access Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:P/A:P

0.001 Low

EPSS

Percentile

29.1%

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