Apple watchOS up to 3.2.1 Foundation memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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8.2$0-$5k0.00

Summaryinfo

A vulnerability labeled as critical has been found in Apple watchOS up to 3.2.1. The affected element is an unknown function of the component Foundation. The manipulation results in memory corruption. This vulnerability is known as CVE-2017-2523. It is possible to launch the attack remotely. Furthermore, an exploit is available. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in Apple watchOS up to 3.2.1 (Smartwatch Operating System). It has been classified as critical. Affected is an unknown part of the component Foundation. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

An issue was discovered in certain Apple products. iOS before 10.3.2 is affected. macOS before 10.12.5 is affected. tvOS before 10.2.1 is affected. watchOS before 3.2.2 is affected. The issue involves the "Foundation" component. It allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption and application crash) via crafted data.

The bug was discovered 05/19/2017. The weakness was published 05/22/2017 by Ian Beer with Google Project Zero (Website). The advisory is shared for download at support.apple.com. This vulnerability is traded as CVE-2017-2523 since 12/01/2016. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Technical details are unknown but a public exploit is available.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $5k-$25k.

Upgrading to version 3.2.2 eliminates this vulnerability.

The vulnerability is also documented in the databases at Exploit-DB (42050) and SecurityFocus (BID 98584†). Similar entries are available at VDB-101255, VDB-101256, VDB-101257 and VDB-101258. Once again VulDB remains the best source 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: 8.5
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
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: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: watchOS 3.2.2

Timelineinfo

12/01/2016 🔍
05/19/2017 +169 days 🔍
05/22/2017 +3 days 🔍
05/22/2017 +0 days 🔍
05/22/2017 +0 days 🔍
05/22/2017 +0 days 🔍
02/08/2025 +2819 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: support.apple.com
Researcher: Ian Beer
Organization: Google Project Zero
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2017-2523 (🔍)
GCVE (CVE): GCVE-0-2017-2523
GCVE (VulDB): GCVE-100-101580
SecurityFocus: 98584 - Apple iOS/macOS/WatchOS/tvOS CVE-2017-2523 Memory Corruption Vulnerability
OSVDB: - CVE-2017-2523 - Apple - Multiple Products - Memory Corruption Issue

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 05/22/2017 17:08
Updated: 02/08/2025 23:59
Changes: 05/22/2017 17:08 (62), 10/01/2020 14:52 (11), 02/08/2025 23:59 (18)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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