SleuthKit 4.14.0 APFS keybag OOB Heap Read (Info Disclosure)
CVE-2026-40025 Published on April 8, 2026

Sleuth Kit APFS Keybag Parser Out-of-Bounds Read
The Sleuth Kit through 4.14.0 contains an out-of-bounds read vulnerability in the APFS filesystem keybag parser where the wrapped_key_parser class follows attacker-controlled length fields without bounds checking, causing heap reads past the allocated buffer. An attacker can craft a malicious APFS disk image that triggers information disclosure or crashes when processed by any Sleuth Kit tool that parses APFS volumes.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2026-40025 can be exploited with local system access, requires user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality, a small impact on integrity, and a small impact on availability.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
NONE
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.


Affected Versions

sleuthkit:

Exploit Probability

EPSS
0.01%
Percentile
2.02%

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.