CVE-2025-43282
Oct. 15, 2025, 9:15 p.m.
5.5
Medium
Description
A double free issue was addressed with improved memory management. This issue is fixed in macOS Sequoia 15.6, iOS 18.6 and iPadOS 18.6, watchOS 11.6, tvOS 18.6, visionOS 2.6, macOS Ventura 13.7.7, macOS Sonoma 14.7.7, iPadOS 17.7.9. An app may be able to cause unexpected system termination.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Apple |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-415
Double Free
The product calls free() twice on the same memory address, potentially leading to modification of unexpected memory locations.
*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 | macos | 15.6 | / | / | / | / | / | / | / |
| o | apple | ios | 18.6 | / | / | / | / | / | / | / |
| o | apple | ipad_os | 18.6 | / | / | / | / | / | / | / |
| o | apple | watchos | 11.6 | / | / | / | / | / | / | / |
| o | apple | tv_os | 18.6 | / | / | / | / | / | / | / |
| o | apple | visionos | 2.6 | / | / | / | / | / | / | / |
| o | apple | macos_ventura | 13.7.7 | / | / | / | / | / | / | / |
| o | apple | macos_sonoma | 14.7.7 | / | / | / | / | / | / | / |
| o | apple | ipad_os | 17.7.9 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Timeline
Published: Oct. 15, 2025, 8:15 p.m.
Last Modified: Oct. 15, 2025, 9:15 p.m.
Last Modified: Oct. 15, 2025, 9:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
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.