Libarchive OOB Read via bsdtar pipe (CVE-2025-5918)
CVE-2025-5918 Published on June 9, 2025

Libarchive: reading past eof may be triggered for piped file streams
A vulnerability has been identified in the libarchive library. This flaw can be triggered when file streams are piped into bsdtar, potentially allowing for reading past the end of the file. This out-of-bounds read can lead to unintended consequences, including unpredictable program behavior, memory corruption, or a denial-of-service condition.

NVD

Vulnerability Analysis

CVE-2025-5918 is exploitable with local system access, requires user interaction and a 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 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:
LOW
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
LOW
Integrity Impact:
NONE
Availability Impact:
LOW

Timeline

Reported to Red Hat.

Made public.

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-2025-5918

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Exploit Probability

EPSS
0.04%
Percentile
11.18%

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.