CVE-2025-14935
Unknown Unknown - Not Provided
Heap-Based Buffer Overflow in NetCDF-C Enables Remote Code Execution

Publication date: 2025-12-23

Last updated on: 2025-12-23

Assigner: Zero Day Initiative

Description
NSF Unidata NetCDF-C Dimension Name Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of NSF Unidata NetCDF-C. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of dimension names. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length heap-based buffer. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-27168.
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Meta Information
Published
2025-12-23
Last Modified
2025-12-23
Generated
2026-06-16
AI Q&A
2025-12-23
EPSS Evaluated
2026-06-15
NVD
CVE-2025-14935
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
nsf unidata_netcdf-c *
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Exploitability
CWE
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KEV
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CWE ID Description
CWE-122 A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
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Executive Summary

CVE-2025-14935 is a heap-based buffer overflow vulnerability in NSF Unidata's NetCDF-C library. It occurs during the parsing of dimension names due to improper validation of the length of user-supplied data before copying it into a fixed-length heap buffer. Exploiting this flaw requires user interaction, such as visiting a malicious webpage or opening a crafted file. Successful exploitation allows remote attackers to execute arbitrary code with the privileges of the current user. [1]

Impact Analysis

This vulnerability can allow remote attackers to execute arbitrary code on affected systems with the privileges of the current user. This can lead to full compromise of confidentiality, integrity, and availability of the system, potentially resulting in data theft, data corruption, or denial of service. [1]

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