GenericMappingTools gmt up to 6.6.0 src/gmt_remote.c gmt_remote_dataset_id stack-based overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.7$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in GenericMappingTools gmt up to 6.6.0. Impacted is the function gmt_remote_dataset_id of the file src/gmt_remote.c. The manipulation leads to stack-based overflow. This vulnerability is referenced as CVE-2026-33147. The attack can only be performed from a local environment. No exploit is available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in GenericMappingTools gmt up to 6.6.0. It has been rated as critical. This issue affects the function gmt_remote_dataset_id of the file src/gmt_remote.c. The manipulation with an unknown input leads to a stack-based overflow vulnerability. Using CWE to declare the problem leads to CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). Impacted is confidentiality, integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-33147 since 03/17/2026. The exploitation is known to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit.

Applying the patch 0ad2b491470df82c9ec1139dcbd70502fa28a082 is able to eliminate this problem. The bugfix is ready for download at github.com.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-13784). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.8
VulDB Meta Temp Score: 6.7

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔒

CNA Base Score: 7.3
CNA Vector (GitHub_M): 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Stack-based overflow
CWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Partially

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Patch: 0ad2b491470df82c9ec1139dcbd70502fa28a082

Timelineinfo

03/17/2026 CVE reserved
03/20/2026 +3 days Advisory disclosed
03/20/2026 +0 days VulDB entry created
03/27/2026 +7 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-fqxx-62x7-9gwg
Status: Confirmed

CVE: CVE-2026-33147 (🔒)
GCVE (CVE): GCVE-0-2026-33147
GCVE (VulDB): GCVE-100-352115
EUVD: 🔒

Entryinfo

Created: 03/20/2026 23:23
Updated: 03/27/2026 22:30
Changes: 03/20/2026 23:23 (67), 03/21/2026 03:55 (1), 03/27/2026 01:04 (1), 03/27/2026 22:30 (11)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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