Memory Corruption in Linux Kernel Sound Model Registration
CVE-2023-43525 Published on May 6, 2024

Buffer Copy Without Checking Size of Input (`Classic Buffer Overflow`) in Audio
Memory corruption while copying the sound model data from user to kernel buffer during sound model register.

NVD

Vulnerability Analysis

CVE-2023-43525 can be exploited with local system access, and requires user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
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-2023-43525 has been classified to as a Classic Buffer Overflow vulnerability or weakness.


Products Associated with CVE-2023-43525

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2023-43525 are published in these products:

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Affected Versions

Qualcomm, Inc. Snapdragon: qualcomm ar8035_firmware: qualcomm fastconnect_7800_firmware: qualcomm qam8255p_firmware: qualcomm qam8295p_firmware: qualcomm qam8650p_firmware: qualcomm qam8775p_firmware: qualcomm qamsrv1h_firmware: qualcomm qamsrv1m_firmware: qualcomm qca6574au_firmware: qualcomm qca6584au_firmware: qualcomm qca6696_firmware: qualcomm qca6698aq_firmware: qualcomm qca8081_firmware: qualcomm qca8337_firmware: qualcomm qcc710_firmware: qualcomm qcn6224_firmware: qualcomm qcn6274_firmware: qualcomm qfw7114_firmware: qualcomm qfw7124_firmware: qualcomm sa6145p_firmware: qualcomm sa6150p_firmware: qualcomm sa6155p_firmware: qualcomm sa7255p_firmware: qualcomm sa8145p_firmware: qualcomm sa8150p_firmware: qualcomm sa8155p_firmware: qualcomm sa8195p_firmware: qualcomm sa8255p_firmware: qualcomm sa8295p_firmware: qualcomm sa8620p_firmware: qualcomm sa8650p_firmware: qualcomm sa8770p_firmware: qualcomm sa8775p_firmware: qualcomm sa9000p_firmware: qualcomm snapdragon_auto_5g_modem-rf_gen_2_firmware: qualcomm srv1h_firmware: qualcomm srv1m_firmware: qualcomm wcd9340_firmware:

Exploit Probability

EPSS
0.04%
Percentile
12.44%

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.