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 open-source plotting utility. The flaw arises from improper handling of unusual or exceptional conditions within the function IO_str_init_static_internal, which leads to a segmentation fault. This type of fault indicates that the program attempts to access memory incorrectly, causing it to crash. While the vulnerability does not directly compromise confidentiality or integrity, it impacts availability by causing denial of service (DoS) conditions when exploited. The CVSS 3.1 base score of 6.2 reflects a medium severity level, with the vector indicating 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), but high impact on availability (A:H). The vulnerability does not require authentication or user interaction, but exploitation is limited to local access, meaning an attacker must have some level of access to the system to trigger the fault. No known exploits are currently reported in the wild, and no patches or vendor advisories have been linked yet. Given the nature of GNUPlot as a tool often used in scientific, engineering, and data analysis environments, this vulnerability could disrupt workflows by crashing plotting processes, potentially impacting automated data visualization pipelines or interactive sessions.
Potential Impact
For European organizations, the primary impact of CVE-2025-3359 is the potential disruption of services relying on GNUPlot for data visualization and analysis. This includes academic institutions, research centers, engineering firms, and industries such as manufacturing, automotive, aerospace, and finance where data plotting is integral to operations. The denial of service caused by segmentation faults could interrupt automated reporting, delay decision-making processes, and reduce productivity. Although the vulnerability does not allow data theft or modification, the availability impact could be significant in environments where GNUPlot is embedded in critical workflows or batch processing systems. Additionally, organizations with strict uptime requirements or those using GNUPlot in embedded or controlled environments may face operational challenges. The local attack vector limits remote exploitation, but insider threats or compromised local accounts could leverage this flaw to cause service interruptions.
Mitigation Recommendations
To mitigate CVE-2025-3359, European organizations should first identify all instances of GNUPlot in their environments, including versions in use and deployment contexts. Since no patches are currently linked, organizations should monitor official GNUPlot repositories and security advisories for updates addressing this vulnerability. In the interim, restricting local access to trusted users and enforcing strict access controls can reduce the risk of exploitation. Employing application whitelisting and sandboxing GNUPlot processes can limit the impact of crashes. For automated workflows, implementing robust error handling and process monitoring can detect and recover from unexpected terminations quickly. Additionally, organizations should consider isolating GNUPlot usage to non-critical systems or virtualized environments to contain potential disruptions. Regular backups of configuration and data related to plotting tasks will aid in rapid recovery. Finally, raising awareness among users about the vulnerability and encouraging cautious handling of input data that could trigger the fault is advisable.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Sweden, Switzerland
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 open-source plotting utility. The flaw arises from improper handling of unusual or exceptional conditions within the function IO_str_init_static_internal, which leads to a segmentation fault. This type of fault indicates that the program attempts to access memory incorrectly, causing it to crash. While the vulnerability does not directly compromise confidentiality or integrity, it impacts availability by causing denial of service (DoS) conditions when exploited. The CVSS 3.1 base score of 6.2 reflects a medium severity level, with the vector indicating 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), but high impact on availability (A:H). The vulnerability does not require authentication or user interaction, but exploitation is limited to local access, meaning an attacker must have some level of access to the system to trigger the fault. No known exploits are currently reported in the wild, and no patches or vendor advisories have been linked yet. Given the nature of GNUPlot as a tool often used in scientific, engineering, and data analysis environments, this vulnerability could disrupt workflows by crashing plotting processes, potentially impacting automated data visualization pipelines or interactive sessions.
Potential Impact
For European organizations, the primary impact of CVE-2025-3359 is the potential disruption of services relying on GNUPlot for data visualization and analysis. This includes academic institutions, research centers, engineering firms, and industries such as manufacturing, automotive, aerospace, and finance where data plotting is integral to operations. The denial of service caused by segmentation faults could interrupt automated reporting, delay decision-making processes, and reduce productivity. Although the vulnerability does not allow data theft or modification, the availability impact could be significant in environments where GNUPlot is embedded in critical workflows or batch processing systems. Additionally, organizations with strict uptime requirements or those using GNUPlot in embedded or controlled environments may face operational challenges. The local attack vector limits remote exploitation, but insider threats or compromised local accounts could leverage this flaw to cause service interruptions.
Mitigation Recommendations
To mitigate CVE-2025-3359, European organizations should first identify all instances of GNUPlot in their environments, including versions in use and deployment contexts. Since no patches are currently linked, organizations should monitor official GNUPlot repositories and security advisories for updates addressing this vulnerability. In the interim, restricting local access to trusted users and enforcing strict access controls can reduce the risk of exploitation. Employing application whitelisting and sandboxing GNUPlot processes can limit the impact of crashes. For automated workflows, implementing robust error handling and process monitoring can detect and recover from unexpected terminations quickly. Additionally, organizations should consider isolating GNUPlot usage to non-critical systems or virtualized environments to contain potential disruptions. Regular backups of configuration and data related to plotting tasks will aid in rapid recovery. Finally, raising awareness among users about the vulnerability and encouraging cautious handling of input data that could trigger the fault is advisable.
Affected Countries
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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: 7/8/2025, 8:10:00 PM
Last updated: 7/22/2025, 1:05:41 AM
Views: 7
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