Apple watchOS up to 3.2.3 Kernel memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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8.0$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Apple watchOS up to 3.2.3. The impacted element is an unknown function of the component Kernel. The manipulation leads to memory corruption. This vulnerability is uniquely identified as CVE-2017-7114. Local access is required to approach this attack. No exploit exists. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in Apple watchOS up to 3.2.3 (Smartwatch Operating System). It has been rated as critical. This issue affects some unknown functionality of the component Kernel. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability.

The bug was discovered 09/25/2017. The weakness was disclosed 09/25/2017 by Alex Plaskett with MWR InfoSecurity as HT208115 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. The identification of this vulnerability is CVE-2017-7114 since 03/17/2017. Attacking locally is a requirement. A simple authentication is required for exploitation. The technical details are unknown and an exploit is not publicly available. The advisory points out:

A memory corruption issue was addressed with improved memory handling.

The vulnerability scanner Nessus provides a plugin with the ID 103419 (Apple TV < 11 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Misc. and running in the context r.

Upgrading to version 4.0 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (103419) and SecurityFocus (BID 100990†). The entries VDB-102678, VDB-107049, VDB-107050 and VDB-107051 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.3
VulDB Meta Temp Score: 8.1

VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 103419
Nessus Name: Apple TV < 11 Multiple Vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 801105
OpenVAS Name: Apple Mac OS X Multiple Vulnerabilities-HT208144
OpenVAS File: 🔍
OpenVAS Family: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Upgrade: watchOS 4.0

Timelineinfo

03/17/2017 🔍
09/22/2017 +189 days 🔍
09/25/2017 +2 days 🔍
09/25/2017 +0 days 🔍
09/25/2017 +0 days 🔍
09/25/2017 +0 days 🔍
10/22/2017 +27 days 🔍
10/23/2017 +1 days 🔍
01/19/2021 +1184 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: HT208115
Researcher: Alex Plaskett
Organization: MWR InfoSecurity
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2017-7114 (🔍)
GCVE (CVE): GCVE-0-2017-7114
GCVE (VulDB): GCVE-100-108467
SecurityFocus: 100990
SecurityTracker: 1039427

See also: 🔍

Entryinfo

Created: 10/23/2017 11:37
Updated: 01/19/2021 22:59
Changes: 10/23/2017 11:37 (66), 11/29/2019 15:50 (13), 01/19/2021 22:54 (3), 01/19/2021 22:59 (2)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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