7.3
HIGH CVSS 3.1
CVE-2026-33147
GMT: Stack-based Buffer Overflow in gmt_remote_dataset_id
Description

GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmt_remote_dataset_id function within src/gmt_remote.c. This issue occurs when a specially crafted long string is passed as a dataset identifier (e.g., via the which module), leading to a crash or potential arbitrary code execution. This issue has been patched via commit 0ad2b49.

INFO

Published Date :

March 20, 2026, 9:17 p.m.

Last Modified :

March 20, 2026, 9:17 p.m.

Remotely Exploit :

No
Affected Products

The following products are affected by CVE-2026-33147 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH [email protected]
Solution
Update GMT to patch the stack-based buffer overflow vulnerability.
  • Update GMT to a version that includes commit 0ad2b49.
  • Avoid passing crafted long strings as dataset identifiers.
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2026-33147.

URL Resource
https://github.com/GenericMappingTools/gmt/commit/0ad2b491470df82c9ec1139dcbd70502fa28a082
https://github.com/GenericMappingTools/gmt/security/advisories/GHSA-fqxx-62x7-9gwg
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-33147 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-33147 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-33147 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2026-33147 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Mar. 20, 2026

    Action Type Old Value New Value
    Added Description GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmt_remote_dataset_id function within src/gmt_remote.c. This issue occurs when a specially crafted long string is passed as a dataset identifier (e.g., via the which module), leading to a crash or potential arbitrary code execution. This issue has been patched via commit 0ad2b49.
    Added CVSS V3.1 AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H
    Added CWE CWE-121
    Added Reference https://github.com/GenericMappingTools/gmt/commit/0ad2b491470df82c9ec1139dcbd70502fa28a082
    Added Reference https://github.com/GenericMappingTools/gmt/security/advisories/GHSA-fqxx-62x7-9gwg
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.