Apple OS File Parser OOB Read – Fixed in watchOS 11.5, macOS 14.7.6, iOS 18.5
CVE-2025-31209 Published on May 12, 2025

An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in watchOS 11.5, macOS Sonoma 14.7.6, tvOS 18.5, iPadOS 17.7.7, iOS 18.5 and iPadOS 18.5, macOS Sequoia 15.5, visionOS 2.5, macOS Ventura 13.7.6. Parsing a file may lead to disclosure of user information.

NVD

Vulnerability Analysis

CVE-2025-31209 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
LOW
Availability Impact:
LOW

Weakness Type

Out-of-bounds Read

The software reads data past the end, or before the beginning, of the intended buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. A crash can occur when the code reads a variable amount of data and assumes that a sentinel exists to stop the read operation, such as a NUL in a string. The expected sentinel might not be located in the out-of-bounds memory, causing excessive data to be read, leading to a segmentation fault or a buffer overflow. The software may modify an index or perform pointer arithmetic that references a memory location that is outside of the boundaries of the buffer. A subsequent read operation then produces undefined or unexpected results.


Products Associated with CVE-2025-31209

Want to know whenever a new CVE is published for Apple products? stack.watch will email you.

 
 
 
 
 
 
 

Affected Versions

Apple tvOS: Apple macOS: Apple iPadOS: Apple iOS and iPadOS: Apple macOS: Apple visionOS: Apple watchOS: Apple macOS:

Exploit Probability

EPSS
0.19%
Percentile
40.33%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.