CVE-2025-31180: NULL Pointer Dereference
A flaw was found in gnuplot. The CANVAS_text() function may lead to a segmentation fault and cause a system crash.
AI Analysis
Technical Summary
CVE-2025-31180 is a vulnerability identified in the gnuplot software, specifically within the CANVAS_text() function. The flaw is a NULL pointer dereference, which occurs when the function attempts to access or manipulate memory through a pointer that has not been properly initialized or has been set to NULL. This results in a segmentation fault, causing the application to crash and potentially leading to a denial of service (DoS) condition. The vulnerability does not affect confidentiality or integrity directly, as it does not allow for arbitrary code execution or data manipulation, but it impacts availability by crashing the process. The CVSS 3.1 base score is 6.2 (medium severity), reflecting that the attack vector is local (AV:L), requires low attack complexity (AC:L), no privileges (PR:N), no user interaction (UI:N), and affects only availability (A:H). There are no known exploits in the wild at this time, and no patches or vendor advisories have been linked yet. The vulnerability is relevant to users of gnuplot, a widely used plotting utility in scientific, engineering, and academic environments for data visualization. The affected version is listed as "0," which likely indicates early or unspecified versions, suggesting that the flaw may be present in initial or default builds or that versioning information is incomplete. The vulnerability was published on March 27, 2025, and assigned by Red Hat's security team. Given the local attack vector, exploitation requires an attacker to have local access to the system running gnuplot, which limits remote exploitation possibilities but still poses risk in multi-user or shared environments.
Potential Impact
For European organizations, the primary impact of CVE-2025-31180 is the potential disruption of services relying on gnuplot for data visualization and analysis. Scientific research institutions, universities, engineering firms, and any organizations using gnuplot in automated data processing pipelines could experience application crashes leading to interruptions in workflow or data processing delays. While the vulnerability does not allow data theft or system takeover, repeated crashes could degrade system reliability and availability, impacting productivity. In environments where gnuplot is integrated into larger automated systems or batch processing, such crashes could cascade, causing broader service disruptions. The local attack vector means that insider threats or compromised user accounts pose the greatest risk. European organizations with strict uptime requirements or those operating critical infrastructure that uses gnuplot for monitoring or reporting may face operational risks. However, the lack of remote exploitation and no known active exploits reduce the immediate threat level.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should: 1) Identify all systems running gnuplot and determine the versions in use. 2) Monitor for vendor advisories or patches addressing CVE-2025-31180 and apply updates promptly once available. 3) Restrict local access to systems running gnuplot to trusted users only, minimizing the risk of local exploitation. 4) Implement application-level monitoring to detect unexpected crashes of gnuplot processes, enabling rapid response and investigation. 5) Consider sandboxing or containerizing gnuplot executions to isolate potential crashes and prevent impact on broader systems. 6) Review and harden user permissions and access controls on systems where gnuplot is used, especially in shared or multi-user environments. 7) If gnuplot is used in automated workflows, implement error handling to gracefully manage process crashes and avoid cascading failures. These steps go beyond generic advice by focusing on access control, monitoring, and containment strategies tailored to the local nature of the vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Italy
CVE-2025-31180: NULL Pointer Dereference
Description
A flaw was found in gnuplot. The CANVAS_text() function may lead to a segmentation fault and cause a system crash.
AI-Powered Analysis
Technical Analysis
CVE-2025-31180 is a vulnerability identified in the gnuplot software, specifically within the CANVAS_text() function. The flaw is a NULL pointer dereference, which occurs when the function attempts to access or manipulate memory through a pointer that has not been properly initialized or has been set to NULL. This results in a segmentation fault, causing the application to crash and potentially leading to a denial of service (DoS) condition. The vulnerability does not affect confidentiality or integrity directly, as it does not allow for arbitrary code execution or data manipulation, but it impacts availability by crashing the process. The CVSS 3.1 base score is 6.2 (medium severity), reflecting that the attack vector is local (AV:L), requires low attack complexity (AC:L), no privileges (PR:N), no user interaction (UI:N), and affects only availability (A:H). There are no known exploits in the wild at this time, and no patches or vendor advisories have been linked yet. The vulnerability is relevant to users of gnuplot, a widely used plotting utility in scientific, engineering, and academic environments for data visualization. The affected version is listed as "0," which likely indicates early or unspecified versions, suggesting that the flaw may be present in initial or default builds or that versioning information is incomplete. The vulnerability was published on March 27, 2025, and assigned by Red Hat's security team. Given the local attack vector, exploitation requires an attacker to have local access to the system running gnuplot, which limits remote exploitation possibilities but still poses risk in multi-user or shared environments.
Potential Impact
For European organizations, the primary impact of CVE-2025-31180 is the potential disruption of services relying on gnuplot for data visualization and analysis. Scientific research institutions, universities, engineering firms, and any organizations using gnuplot in automated data processing pipelines could experience application crashes leading to interruptions in workflow or data processing delays. While the vulnerability does not allow data theft or system takeover, repeated crashes could degrade system reliability and availability, impacting productivity. In environments where gnuplot is integrated into larger automated systems or batch processing, such crashes could cascade, causing broader service disruptions. The local attack vector means that insider threats or compromised user accounts pose the greatest risk. European organizations with strict uptime requirements or those operating critical infrastructure that uses gnuplot for monitoring or reporting may face operational risks. However, the lack of remote exploitation and no known active exploits reduce the immediate threat level.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should: 1) Identify all systems running gnuplot and determine the versions in use. 2) Monitor for vendor advisories or patches addressing CVE-2025-31180 and apply updates promptly once available. 3) Restrict local access to systems running gnuplot to trusted users only, minimizing the risk of local exploitation. 4) Implement application-level monitoring to detect unexpected crashes of gnuplot processes, enabling rapid response and investigation. 5) Consider sandboxing or containerizing gnuplot executions to isolate potential crashes and prevent impact on broader systems. 6) Review and harden user permissions and access controls on systems where gnuplot is used, especially in shared or multi-user environments. 7) If gnuplot is used in automated workflows, implement error handling to gracefully manage process crashes and avoid cascading failures. These steps go beyond generic advice by focusing on access control, monitoring, and containment strategies tailored to the local nature of the vulnerability.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2025-03-27T14:08:08.893Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9819c4522896dcbd89f7
Added to database: 5/21/2025, 9:08:41 AM
Last enriched: 8/31/2025, 12:38:58 AM
Last updated: 9/26/2025, 5:10:55 PM
Views: 17
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