IBM DB2 HP Unload 5.x6.5 Buffer Overflow Crash (CVE-2025-33131)
CVE-2025-33131 Published on October 27, 2025

Fixes to common vulnerabilities found in IBM Db2 High Performance Unload
IBM DB2 High Performance Unload 6.1.0.3, 5.1.0.1, 6.1.0.2, 6.5, 6.5.0.0 IF1, 6.1.0.1, 6.1, and 5.1 could allow an authenticated user to cause the program to crash due to a buffer being overwritten when it is allocated on the stack.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-33131 can be exploited with network access, and requires 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 no impact on confidentiality and integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
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-2025-33131 has been classified to as a Classic Buffer Overflow vulnerability or weakness.


Products Associated with CVE-2025-33131

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IBM Db2 High Performance Unload
 

Affected Versions

IBM DB2 High Performance Unload:

Exploit Probability

EPSS
0.08%
Percentile
23.65%

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.