GNU Tar 1.34 One-Byte OOB Read in from_header (V7)
CVE-2022-48303 Published on January 30, 2023

GNU Tar through 1.34 has a one-byte out-of-bounds read that results in use of uninitialized memory for a conditional jump. Exploitation to change the flow of control has not been demonstrated. The issue occurs in from_header in list.c via a V7 archive in which mtime has approximately 11 whitespace characters.

Vendor Advisory Vendor Advisory NVD

Vulnerability Analysis

CVE-2022-48303 can be exploited with local system access, requires user interaction. This vulnerability is considered to have a low attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2022-48303. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

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

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-2022-48303

stack.watch emails you whenever new vulnerabilities are published in GNU Tar or Fedora Project Fedora. Just hit a watch button to start following.

 
 

Exploit Probability

EPSS
0.07%
Percentile
20.89%

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.