Apple macOS Apple Neural Engine memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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7.6$0-$5k0.00

Summaryinfo

A vulnerability was found in Apple macOS. It has been classified as critical. Affected by this vulnerability is an unknown functionality of the component Apple Neural Engine. Performing a manipulation results in memory corruption. This vulnerability is identified as CVE-2022-32899. The attack is only possible with local access. There is not any exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in Apple macOS (Operating System) (unknown version). It has been classified as critical. This affects an unknown code block of the component Apple Neural Engine. 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.

The weakness was released 10/24/2022 by Mohamed Ghannam as HT213488 as confirmed advisory (Website). It is possible to read the advisory at support.apple.com. This vulnerability is uniquely identified as CVE-2022-32899. The technical details are unknown and an exploit is not publicly available. The advisory points out:

An app may be able to execute arbitrary code with kernel privileges

Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability. The advisory contains the following remark:

The issue was addressed with improved memory handling.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-35965). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Vendor

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License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.8
VulDB Meta Temp Score: 7.6

VulDB Base Score: 7.8
VulDB Temp Score: 7.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

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

Physical: Partially
Local: Yes
Remote: Partially

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

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

Timelineinfo

06/09/2022 🔍
10/24/2022 +137 days 🔍
10/24/2022 +0 days 🔍
10/25/2022 +1 days 🔍
06/05/2026 +1319 days 🔍

Sourcesinfo

Vendor: apple.com

Advisory: HT213488
Researcher: Mohamed Ghannam
Status: Confirmed

CVE: CVE-2022-32899 (🔍)
GCVE (CVE): GCVE-0-2022-32899
GCVE (VulDB): GCVE-100-212091
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20180712

Entryinfo

Created: 10/25/2022 08:20
Updated: 06/05/2026 15:17
Changes: 10/25/2022 08:20 (17), 10/25/2022 08:24 (28), 11/23/2022 08:39 (3), 11/23/2022 08:40 (10), 06/05/2026 15:17 (15)
Complete: 🔍
Cache ID: 216::103

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

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