libeconf Buffer Overflow Before 0.5.2 Enables DoS via Malformed Config
CVE-2023-32181 Published on June 1, 2023

Stack buffer overflow in "econf_writeFile" function
A Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') vulnerability in openSUSE libeconf allows for DoS via malformed configuration files This issue affects libeconf: before 0.5.2.

NVD

Vulnerability Analysis

CVE-2023-32181 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-2023-32181. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a small 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:
LOW

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-2023-32181 has been classified to as a Classic Buffer Overflow vulnerability or weakness.


Products Associated with CVE-2023-32181

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Affected Versions

openSUSE libeconf:

Exploit Probability

EPSS
0.06%
Percentile
19.37%

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.