IBM Concert 1.0.0-2.1.0 Remote Heap Memory Disclosure via Improper Clearing
CVE-2025-1721 Published on December 26, 2025

BM Concert Software Improper Clearing of Heap Memory Before Release.
IBM Concert 1.0.0 through 2.1.0 could allow a remote attacker to obtain sensitive information from allocated memory due to improper clearing of heap memory.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-1721 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

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

Weakness Type

What is a Heap Inspection Vulnerability?

Using realloc() to resize buffers that store sensitive information can leave the sensitive information exposed to attack, because it is not removed from memory. When sensitive data such as a password or an encryption key is not removed from memory, it could be exposed to an attacker using a "heap inspection" attack that reads the sensitive data using memory dumps or other methods. The realloc() function is commonly used to increase the size of a block of allocated memory. This operation often requires copying the contents of the old memory block into a new and larger block. This operation leaves the contents of the original block intact but inaccessible to the program, preventing the program from being able to scrub sensitive data from memory. If an attacker can later examine the contents of a memory dump, the sensitive data could be exposed.

CVE-2025-1721 has been classified to as a Heap Inspection vulnerability or weakness.


Products Associated with CVE-2025-1721

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Affected Versions

IBM Concert:

Exploit Probability

EPSS
0.05%
Percentile
16.81%

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.