CVE-2025-43520
Dec. 16, 2025, 8:58 p.m.
7.1
High
Description
A memory corruption issue was addressed with improved memory handling. This issue is fixed in watchOS 26.1, iOS 18.7.2 and iPadOS 18.7.2, macOS Tahoe 26.1, visionOS 26.1, tvOS 26.1, macOS Sonoma 14.8.2, macOS Sequoia 15.7.2, iOS 26.1 and iPadOS 26.1. A malicious application may be able to cause unexpected system termination or write kernel memory.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Apple |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-787
Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| o | apple | ipados | / | / | / | / | / | / | / | / |
| o | apple | ipados | / | / | / | / | / | / | / | / |
| o | apple | iphone_os | / | / | / | / | / | / | / | / |
| o | apple | iphone_os | / | / | / | / | / | / | / | / |
| o | apple | macos | / | / | / | / | / | / | / | / |
| o | apple | macos | / | / | / | / | / | / | / | / |
| o | apple | macos | / | / | / | / | / | / | / | / |
| o | apple | tvos | / | / | / | / | / | / | / | / |
| o | apple | visionos | / | / | / | / | / | / | / | / |
| o | apple | watchos | / | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
Timeline
Published: Dec. 12, 2025, 9:15 p.m.
Last Modified: Dec. 16, 2025, 8:58 p.m.
Last Modified: Dec. 16, 2025, 8:58 p.m.
Status : Analyzed
CVE has had analysis completed and all data associations made.
More infoSource
product-security@apple.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.