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 is a vulnerability identified in GNUPlot, a widely used plotting utility for scientific and engineering data visualization. The flaw arises from improper checking 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, reflecting medium severity. The vector indicates local attack vector (AV:L), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), no impact on confidentiality or integrity (C:N/I:N), and high impact on availability (A:H). Exploitation requires local access to the system running GNUPlot, which limits the attack surface primarily to insiders or users with local system access. No remote exploitation or privilege escalation is indicated. There are no known exploits in the wild, and no patches or fixes have been published at the time of disclosure. The vulnerability could jeopardize environments relying on GNUPlot for automated plotting tasks, potentially disrupting workflows in research, engineering, and data analysis contexts.
Potential Impact
The primary impact of CVE-2025-3359 is denial of service due to application crashes, which can interrupt critical data visualization and analysis workflows. For European organizations, especially those in academia, scientific research, engineering, and industries relying on GNUPlot for automation, this could lead to operational delays and reduced productivity. Although confidentiality and integrity are not affected, availability disruptions can have downstream effects on decision-making and reporting. Since exploitation requires local access, the risk is mitigated somewhat by internal security controls, but insider threats or compromised local accounts could still trigger the vulnerability. The lack of remote exploitability reduces the risk of widespread attacks but does not eliminate the threat to sensitive environments. Organizations with automated pipelines or batch processing using GNUPlot are particularly vulnerable to service interruptions.
Mitigation Recommendations
1. Monitor official GNUPlot repositories and security advisories closely for patches or updates addressing CVE-2025-3359 and apply them promptly once available. 2. Restrict local access to systems running GNUPlot to trusted users only, employing strict access controls and user account management. 3. Implement application whitelisting and sandboxing to limit the impact of potential crashes and prevent unauthorized execution of GNUPlot binaries. 4. For automated workflows, incorporate error handling and fallback mechanisms to detect and recover from GNUPlot crashes, minimizing operational disruption. 5. Conduct regular audits of local user privileges and monitor for anomalous activities that could indicate attempts to exploit local vulnerabilities. 6. Consider isolating critical plotting environments in virtual machines or containers to contain potential denial of service effects. 7. Educate users and administrators about the vulnerability and the importance of limiting local access and promptly reporting crashes or unusual behavior.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Italy
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
Technical Analysis
CVE-2025-3359 is a vulnerability identified in GNUPlot, a widely used plotting utility for scientific and engineering data visualization. The flaw arises from improper checking 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, reflecting medium severity. The vector indicates local attack vector (AV:L), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), no impact on confidentiality or integrity (C:N/I:N), and high impact on availability (A:H). Exploitation requires local access to the system running GNUPlot, which limits the attack surface primarily to insiders or users with local system access. No remote exploitation or privilege escalation is indicated. There are no known exploits in the wild, and no patches or fixes have been published at the time of disclosure. The vulnerability could jeopardize environments relying on GNUPlot for automated plotting tasks, potentially disrupting workflows in research, engineering, and data analysis contexts.
Potential Impact
The primary impact of CVE-2025-3359 is denial of service due to application crashes, which can interrupt critical data visualization and analysis workflows. For European organizations, especially those in academia, scientific research, engineering, and industries relying on GNUPlot for automation, this could lead to operational delays and reduced productivity. Although confidentiality and integrity are not affected, availability disruptions can have downstream effects on decision-making and reporting. Since exploitation requires local access, the risk is mitigated somewhat by internal security controls, but insider threats or compromised local accounts could still trigger the vulnerability. The lack of remote exploitability reduces the risk of widespread attacks but does not eliminate the threat to sensitive environments. Organizations with automated pipelines or batch processing using GNUPlot are particularly vulnerable to service interruptions.
Mitigation Recommendations
1. Monitor official GNUPlot repositories and security advisories closely for patches or updates addressing CVE-2025-3359 and apply them promptly once available. 2. Restrict local access to systems running GNUPlot to trusted users only, employing strict access controls and user account management. 3. Implement application whitelisting and sandboxing to limit the impact of potential crashes and prevent unauthorized execution of GNUPlot binaries. 4. For automated workflows, incorporate error handling and fallback mechanisms to detect and recover from GNUPlot crashes, minimizing operational disruption. 5. Conduct regular audits of local user privileges and monitor for anomalous activities that could indicate attempts to exploit local vulnerabilities. 6. Consider isolating critical plotting environments in virtual machines or containers to contain potential denial of service effects. 7. Educate users and administrators about the vulnerability and the importance of limiting local access and promptly reporting crashes or unusual behavior.
Affected Countries
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: 1/5/2026, 11:27:40 AM
Last updated: 1/7/2026, 5:26:52 AM
Views: 25
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