IBM AIX 7.1-7.3 X11 Buffer Overflow CVE-2022-47990
CVE-2022-47990 Published on January 18, 2023

IBM AIX denial of service
IBM AIX 7.1, 7.2, 7.3 and VIOS , 3.1 could allow a non-privileged local user to exploit a vulnerability in X11 to cause a buffer overflow that could result in a denial of service or arbitrary code execution. IBM X-Force ID: 243556.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2022-47990 is exploitable with local system access, and does not require authorization privileges or 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 no impact on confidentiality and integrity, and a high impact on availability.

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

Weakness Type

What is a Classic Buffer Overflow Vulnerability?

The program copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. A buffer overflow condition exists when a program attempts to put more data in a buffer than it can hold, or when a program attempts to put data in a memory area outside of the boundaries of a buffer. The simplest type of error, and the most common cause of buffer overflows, is the "classic" case in which the program copies the buffer without restricting how much is copied. Other variants exist, but the existence of a classic overflow strongly suggests that the programmer is not considering even the most basic of security protections.

CVE-2022-47990 has been classified to as a Classic Buffer Overflow vulnerability or weakness.


Products Associated with CVE-2022-47990

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Affected Versions

IBM AIX Version 7.1, 7.2, 7.3, VIOS 3.1 is affected by CVE-2022-47990

Exploit Probability

EPSS
0.16%
Percentile
36.87%

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.