CVE-2025-3359: Improper Check for Unusual or Exceptional Conditions
A flaw was found in GNUPlot. A segmentation fault via IO_str_init_static_internal may jeopardize the environment.
AI Analysis
Technical Summary
CVE-2025-3359 identifies a vulnerability in GNUPlot, a widely used plotting utility for data visualization. The flaw arises from improper checks for unusual or exceptional conditions within the IO_str_init_static_internal function, which leads to a segmentation fault. This fault causes the application to crash, resulting in a denial of service (DoS) condition. The vulnerability has a CVSS 3.1 base score of 6.2, indicating medium severity. The attack vector is local (AV:L), requiring the attacker to have local access to the system, with low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The scope is unchanged (S:U), and the impact affects only availability (A:H), with no impact on confidentiality or integrity. No known exploits have been reported in the wild, and no patches have been published at the time of disclosure. The vulnerability could be triggered by specially crafted input or conditions that cause the IO_str_init_static_internal function to fail, crashing the GNUPlot process. This can disrupt workflows or automated systems relying on GNUPlot for data visualization or reporting.
Potential Impact
The primary impact of CVE-2025-3359 is denial of service through application crashes, which can disrupt scientific, engineering, or business processes that depend on GNUPlot for data visualization. While it does not compromise data confidentiality or integrity, repeated crashes could lead to operational downtime, loss of productivity, and potential delays in critical data analysis tasks. Organizations with automated pipelines or batch jobs using GNUPlot may experience failures that require manual intervention. Since exploitation requires local access, the risk is mitigated somewhat by the need for attacker presence on the system, but insider threats or compromised accounts could leverage this vulnerability. The lack of known exploits reduces immediate risk, but the medium severity score suggests timely remediation is advisable to prevent potential escalation or chaining with other vulnerabilities.
Mitigation Recommendations
To mitigate CVE-2025-3359, organizations should: 1) Monitor official GNUPlot repositories and security advisories for patches addressing this vulnerability and apply updates promptly once available. 2) Restrict local access to systems running GNUPlot to trusted users only, minimizing the risk of exploitation by unauthorized personnel. 3) Implement application whitelisting and process monitoring to detect abnormal termination of GNUPlot processes, enabling rapid response to potential exploitation attempts. 4) Use sandboxing or containerization for GNUPlot executions in multi-user environments to limit the impact of crashes. 5) Review and harden system user permissions and audit logs to detect suspicious local activity. 6) Consider alternative plotting tools temporarily if patching is delayed and the risk is unacceptable. 7) Educate users about the risks of running untrusted input through GNUPlot to avoid triggering the fault.
Affected Countries
United States, Germany, United Kingdom, France, Japan, South Korea, Canada, Australia, India, China
CVE-2025-3359: Improper Check for Unusual or Exceptional Conditions
Description
A flaw was found in GNUPlot. A segmentation fault via IO_str_init_static_internal may jeopardize the environment.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-3359 identifies a vulnerability in GNUPlot, a widely used plotting utility for data visualization. The flaw arises from improper checks for unusual or exceptional conditions within the IO_str_init_static_internal function, which leads to a segmentation fault. This fault causes the application to crash, resulting in a denial of service (DoS) condition. The vulnerability has a CVSS 3.1 base score of 6.2, indicating medium severity. The attack vector is local (AV:L), requiring the attacker to have local access to the system, with low attack complexity (AC:L), no privileges required (PR:N), and no user interaction (UI:N). The scope is unchanged (S:U), and the impact affects only availability (A:H), with no impact on confidentiality or integrity. No known exploits have been reported in the wild, and no patches have been published at the time of disclosure. The vulnerability could be triggered by specially crafted input or conditions that cause the IO_str_init_static_internal function to fail, crashing the GNUPlot process. This can disrupt workflows or automated systems relying on GNUPlot for data visualization or reporting.
Potential Impact
The primary impact of CVE-2025-3359 is denial of service through application crashes, which can disrupt scientific, engineering, or business processes that depend on GNUPlot for data visualization. While it does not compromise data confidentiality or integrity, repeated crashes could lead to operational downtime, loss of productivity, and potential delays in critical data analysis tasks. Organizations with automated pipelines or batch jobs using GNUPlot may experience failures that require manual intervention. Since exploitation requires local access, the risk is mitigated somewhat by the need for attacker presence on the system, but insider threats or compromised accounts could leverage this vulnerability. The lack of known exploits reduces immediate risk, but the medium severity score suggests timely remediation is advisable to prevent potential escalation or chaining with other vulnerabilities.
Mitigation Recommendations
To mitigate CVE-2025-3359, organizations should: 1) Monitor official GNUPlot repositories and security advisories for patches addressing this vulnerability and apply updates promptly once available. 2) Restrict local access to systems running GNUPlot to trusted users only, minimizing the risk of exploitation by unauthorized personnel. 3) Implement application whitelisting and process monitoring to detect abnormal termination of GNUPlot processes, enabling rapid response to potential exploitation attempts. 4) Use sandboxing or containerization for GNUPlot executions in multi-user environments to limit the impact of crashes. 5) Review and harden system user permissions and audit logs to detect suspicious local activity. 6) Consider alternative plotting tools temporarily if patching is delayed and the risk is unacceptable. 7) Educate users about the risks of running untrusted input through GNUPlot to avoid triggering the fault.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2025-04-07T01:39:21.092Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68306f8e0acd01a249272495
Added to database: 5/23/2025, 12:52:30 PM
Last enriched: 2/27/2026, 1:27:47 PM
Last updated: 3/24/2026, 6:11:32 AM
Views: 40
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