CVE-2025-31178: NULL Pointer Dereference
A flaw was found in gnuplot. The GetAnnotateString() function may lead to a segmentation fault and cause a system crash.
AI Analysis
Technical Summary
CVE-2025-31178 identifies a vulnerability in gnuplot, a widely used open-source plotting utility, specifically within the GetAnnotateString() function. The flaw is a NULL pointer dereference that can cause a segmentation fault, resulting in the crashing of the gnuplot process and potentially the host system if exploited under certain conditions. This vulnerability impacts the availability of the service or system running gnuplot but does not compromise confidentiality or integrity. According to the CVSS 3.1 vector, the attack requires local access (AV:L), no privileges (PR:N), and no user interaction (UI:N), indicating that an attacker must have some level of access to the system but does not need to trick a user or escalate privileges. The vulnerability is rated with a CVSS score of 6.2 (medium severity), reflecting the moderate impact and exploitation complexity. No known exploits are currently reported in the wild, and no official patches have been linked yet, though the vulnerability has been publicly disclosed. The affected versions are not explicitly detailed beyond a placeholder '0', suggesting that further version-specific information is needed. The vulnerability could be triggered by crafted input or annotation strings processed by gnuplot, causing the NULL pointer dereference. This could be leveraged by an attacker with local access to cause denial of service conditions, disrupting workflows that depend on gnuplot for data visualization and analysis.
Potential Impact
For European organizations, the primary impact of CVE-2025-31178 is the potential denial of service caused by system or application crashes when processing certain inputs with gnuplot. This can disrupt scientific research, engineering projects, and academic activities that rely on gnuplot for data visualization. While the vulnerability does not expose sensitive data or allow unauthorized code execution, the loss of availability can delay critical operations and reduce productivity. Organizations with automated data processing pipelines or visualization tools incorporating gnuplot may experience interruptions. The requirement for local access limits remote exploitation risks but raises concerns about insider threats or compromised internal systems. In sectors such as research institutions, universities, and engineering firms prevalent in Europe, the disruption could have operational and reputational consequences. However, the absence of known exploits and the medium severity rating suggest the threat is manageable with proper controls.
Mitigation Recommendations
1. Restrict local access to systems running gnuplot to trusted users only, minimizing the risk of exploitation by unauthorized personnel. 2. Monitor logs and system behavior for unexpected gnuplot crashes or segmentation faults, which may indicate attempted exploitation. 3. Implement application whitelisting and sandboxing for gnuplot processes to limit the impact of crashes and prevent system-wide effects. 4. Stay informed on official patches or updates from gnuplot maintainers and apply them promptly once available. 5. For critical environments, consider using alternative plotting tools or versions of gnuplot confirmed not vulnerable until patches are released. 6. Conduct internal audits to identify all instances of gnuplot usage and assess exposure. 7. Educate local users about the risk of running untrusted scripts or input files with gnuplot. 8. Employ system-level protections such as memory protection and crash recovery mechanisms to reduce downtime. These steps go beyond generic advice by focusing on access control, monitoring, and operational continuity specific to this vulnerability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland
CVE-2025-31178: NULL Pointer Dereference
Description
A flaw was found in gnuplot. The GetAnnotateString() function may lead to a segmentation fault and cause a system crash.
AI-Powered Analysis
Technical Analysis
CVE-2025-31178 identifies a vulnerability in gnuplot, a widely used open-source plotting utility, specifically within the GetAnnotateString() function. The flaw is a NULL pointer dereference that can cause a segmentation fault, resulting in the crashing of the gnuplot process and potentially the host system if exploited under certain conditions. This vulnerability impacts the availability of the service or system running gnuplot but does not compromise confidentiality or integrity. According to the CVSS 3.1 vector, the attack requires local access (AV:L), no privileges (PR:N), and no user interaction (UI:N), indicating that an attacker must have some level of access to the system but does not need to trick a user or escalate privileges. The vulnerability is rated with a CVSS score of 6.2 (medium severity), reflecting the moderate impact and exploitation complexity. No known exploits are currently reported in the wild, and no official patches have been linked yet, though the vulnerability has been publicly disclosed. The affected versions are not explicitly detailed beyond a placeholder '0', suggesting that further version-specific information is needed. The vulnerability could be triggered by crafted input or annotation strings processed by gnuplot, causing the NULL pointer dereference. This could be leveraged by an attacker with local access to cause denial of service conditions, disrupting workflows that depend on gnuplot for data visualization and analysis.
Potential Impact
For European organizations, the primary impact of CVE-2025-31178 is the potential denial of service caused by system or application crashes when processing certain inputs with gnuplot. This can disrupt scientific research, engineering projects, and academic activities that rely on gnuplot for data visualization. While the vulnerability does not expose sensitive data or allow unauthorized code execution, the loss of availability can delay critical operations and reduce productivity. Organizations with automated data processing pipelines or visualization tools incorporating gnuplot may experience interruptions. The requirement for local access limits remote exploitation risks but raises concerns about insider threats or compromised internal systems. In sectors such as research institutions, universities, and engineering firms prevalent in Europe, the disruption could have operational and reputational consequences. However, the absence of known exploits and the medium severity rating suggest the threat is manageable with proper controls.
Mitigation Recommendations
1. Restrict local access to systems running gnuplot to trusted users only, minimizing the risk of exploitation by unauthorized personnel. 2. Monitor logs and system behavior for unexpected gnuplot crashes or segmentation faults, which may indicate attempted exploitation. 3. Implement application whitelisting and sandboxing for gnuplot processes to limit the impact of crashes and prevent system-wide effects. 4. Stay informed on official patches or updates from gnuplot maintainers and apply them promptly once available. 5. For critical environments, consider using alternative plotting tools or versions of gnuplot confirmed not vulnerable until patches are released. 6. Conduct internal audits to identify all instances of gnuplot usage and assess exposure. 7. Educate local users about the risk of running untrusted scripts or input files with gnuplot. 8. Employ system-level protections such as memory protection and crash recovery mechanisms to reduce downtime. These steps go beyond generic advice by focusing on access control, monitoring, and operational continuity specific to this 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: 682d9819c4522896dcbd89e7
Added to database: 5/21/2025, 9:08:41 AM
Last enriched: 11/20/2025, 9:49:55 PM
Last updated: 11/22/2025, 5:59:34 PM
Views: 32
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