CVE-2026-24797: CWE-787 Out-of-bounds Write in neka-nat cupoch
Out-of-bounds Write vulnerability in neka-nat cupoch (third_party/libjpeg-turbo/libjpeg-turbo modules). This vulnerability is associated with program files tjbench.C. This issue affects cupoch.
AI Analysis
Technical Summary
CVE-2026-24797 is an out-of-bounds write vulnerability classified under CWE-787 affecting the cupoch software developed by the neka-nat project. The vulnerability resides in the third_party/libjpeg-turbo modules, particularly in the tjbench.C source files. An out-of-bounds write occurs when the software writes data beyond the allocated memory buffer, which can corrupt adjacent memory, potentially leading to arbitrary code execution, application crashes, or data corruption. The vulnerability is remotely exploitable without requiring authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). The impact on confidentiality, integrity, and availability is limited but present (VI:L, VA:L), with scope limited to the vulnerable component (SC:N). The vulnerability was published on January 27, 2026, and no patches or known exploits are currently available. The medium severity rating (CVSS 6.9) reflects the balance between ease of exploitation and potential impact. Cupoch is a software package used for 3D point cloud processing and visualization, often employed in research, industrial, and imaging applications. The vulnerability in libjpeg-turbo, a widely used JPEG codec library, could be leveraged by attackers to compromise systems processing untrusted image data. The lack of authentication and user interaction requirements increases the risk of remote exploitation, especially in network-exposed environments.
Potential Impact
For European organizations, the vulnerability could lead to unauthorized memory manipulation, potentially allowing attackers to execute arbitrary code, cause denial of service, or corrupt sensitive data. Industries relying on cupoch for 3D imaging, such as automotive, manufacturing, healthcare, and research institutions, may face operational disruptions or data breaches. The impact on confidentiality arises from potential leakage of processed image data or internal memory contents. Integrity could be compromised if attackers alter data or processing results, affecting decision-making or product quality. Availability risks include application crashes or system instability. Given the remote exploitability without authentication, exposed systems on corporate or research networks are at risk. The absence of known exploits currently reduces immediate threat but does not eliminate future risk, especially as attackers may develop exploits once patches are released. European organizations with network-exposed cupoch deployments or those processing untrusted image inputs should consider this vulnerability a significant risk to operational security and data protection compliance.
Mitigation Recommendations
Organizations should immediately inventory all systems running cupoch and identify versions affected by CVE-2026-24797. Although no patches are currently available, monitor vendor and community channels for updates and apply patches promptly upon release. Until patched, restrict network access to vulnerable systems by implementing network segmentation and firewall rules to limit exposure to untrusted networks. Employ intrusion detection and prevention systems (IDS/IPS) to monitor for anomalous activity indicative of exploitation attempts. Validate and sanitize all image inputs processed by cupoch to reduce the risk of maliciously crafted files triggering the vulnerability. Consider running cupoch within sandboxed or containerized environments to limit the impact of potential exploitation. Regularly update and audit third-party dependencies, including libjpeg-turbo, to ensure known vulnerabilities are addressed. Finally, conduct security awareness training for developers and system administrators regarding secure handling of image processing software and timely vulnerability management.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland
CVE-2026-24797: CWE-787 Out-of-bounds Write in neka-nat cupoch
Description
Out-of-bounds Write vulnerability in neka-nat cupoch (third_party/libjpeg-turbo/libjpeg-turbo modules). This vulnerability is associated with program files tjbench.C. This issue affects cupoch.
AI-Powered Analysis
Technical Analysis
CVE-2026-24797 is an out-of-bounds write vulnerability classified under CWE-787 affecting the cupoch software developed by the neka-nat project. The vulnerability resides in the third_party/libjpeg-turbo modules, particularly in the tjbench.C source files. An out-of-bounds write occurs when the software writes data beyond the allocated memory buffer, which can corrupt adjacent memory, potentially leading to arbitrary code execution, application crashes, or data corruption. The vulnerability is remotely exploitable without requiring authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). The impact on confidentiality, integrity, and availability is limited but present (VI:L, VA:L), with scope limited to the vulnerable component (SC:N). The vulnerability was published on January 27, 2026, and no patches or known exploits are currently available. The medium severity rating (CVSS 6.9) reflects the balance between ease of exploitation and potential impact. Cupoch is a software package used for 3D point cloud processing and visualization, often employed in research, industrial, and imaging applications. The vulnerability in libjpeg-turbo, a widely used JPEG codec library, could be leveraged by attackers to compromise systems processing untrusted image data. The lack of authentication and user interaction requirements increases the risk of remote exploitation, especially in network-exposed environments.
Potential Impact
For European organizations, the vulnerability could lead to unauthorized memory manipulation, potentially allowing attackers to execute arbitrary code, cause denial of service, or corrupt sensitive data. Industries relying on cupoch for 3D imaging, such as automotive, manufacturing, healthcare, and research institutions, may face operational disruptions or data breaches. The impact on confidentiality arises from potential leakage of processed image data or internal memory contents. Integrity could be compromised if attackers alter data or processing results, affecting decision-making or product quality. Availability risks include application crashes or system instability. Given the remote exploitability without authentication, exposed systems on corporate or research networks are at risk. The absence of known exploits currently reduces immediate threat but does not eliminate future risk, especially as attackers may develop exploits once patches are released. European organizations with network-exposed cupoch deployments or those processing untrusted image inputs should consider this vulnerability a significant risk to operational security and data protection compliance.
Mitigation Recommendations
Organizations should immediately inventory all systems running cupoch and identify versions affected by CVE-2026-24797. Although no patches are currently available, monitor vendor and community channels for updates and apply patches promptly upon release. Until patched, restrict network access to vulnerable systems by implementing network segmentation and firewall rules to limit exposure to untrusted networks. Employ intrusion detection and prevention systems (IDS/IPS) to monitor for anomalous activity indicative of exploitation attempts. Validate and sanitize all image inputs processed by cupoch to reduce the risk of maliciously crafted files triggering the vulnerability. Consider running cupoch within sandboxed or containerized environments to limit the impact of potential exploitation. Regularly update and audit third-party dependencies, including libjpeg-turbo, to ensure known vulnerabilities are addressed. Finally, conduct security awareness training for developers and system administrators regarding secure handling of image processing software and timely vulnerability management.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GovTech CSG
- Date Reserved
- 2026-01-27T08:18:43.268Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 697878ed4623b1157c0fa6a6
Added to database: 1/27/2026, 8:35:57 AM
Last enriched: 1/27/2026, 8:51:01 AM
Last updated: 2/7/2026, 6:30:29 AM
Views: 33
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