CVE-2025-33231: CWE-427 Uncontrolled Search Path Element in NVIDIA CUDA Toolkit
NVIDIA Nsight Systems for Windows contains a vulnerability in the application’s DLL loading mechanism where an attacker could cause an uncontrolled search path element by exploiting insecure DLL search paths. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service and information disclosure.
AI Analysis
Technical Summary
CVE-2025-33231 is a vulnerability classified under CWE-427 (Uncontrolled Search Path Element) affecting NVIDIA Nsight Systems for Windows, a component of the CUDA Toolkit prior to version 13.1. The issue arises from the application's DLL loading mechanism, which does not securely handle the search paths for dynamic link libraries. This insecure DLL search path can be exploited by an attacker who has local access and can trick the application into loading a malicious DLL placed in a directory that is searched before the legitimate DLL location. The vulnerability requires low privileges and user interaction, such as running the application or opening a project, to be exploited. Once exploited, it can lead to arbitrary code execution, allowing the attacker to escalate privileges, tamper with data, cause denial of service, or disclose sensitive information. The CVSS v3.1 base score is 6.7, reflecting medium severity with high impact on confidentiality, integrity, and availability but requiring local access and user interaction. No public exploits or active exploitation have been reported to date. The vulnerability affects all versions of the CUDA Toolkit before 13.1, which is widely used in GPU-accelerated computing environments for AI, scientific research, and high-performance computing on Windows platforms.
Potential Impact
The impact of CVE-2025-33231 is significant for organizations relying on NVIDIA CUDA Toolkit for GPU-accelerated workloads, particularly on Windows systems. Exploitation can lead to full code execution under the context of the vulnerable application, enabling attackers to escalate privileges from low-level user accounts. This can result in unauthorized access to sensitive data, manipulation or corruption of computational results, disruption of critical workloads through denial of service, and potential lateral movement within networks. Given the use of CUDA in research institutions, AI development firms, and enterprises utilizing GPU computing, the vulnerability could undermine data integrity and confidentiality in sensitive projects. Although exploitation requires local access and user interaction, insider threats or compromised endpoints could leverage this vulnerability to gain elevated control. The absence of known exploits reduces immediate risk, but the medium CVSS score and potential impact warrant proactive mitigation to prevent future attacks.
Mitigation Recommendations
To mitigate CVE-2025-33231, organizations should immediately upgrade all affected NVIDIA CUDA Toolkit installations to version 13.1 or later, where the DLL search path handling has been secured. Until patching is possible, restrict local access to systems running vulnerable versions to trusted users only and enforce strict endpoint security controls to prevent unauthorized code execution. Implement application whitelisting and monitor for suspicious DLL loading behavior using endpoint detection and response (EDR) tools. Educate users about the risk of executing untrusted files or projects within Nsight Systems. Additionally, administrators should review and harden the Windows DLL search order by applying Microsoft’s recommended mitigations such as enabling Safe DLL Search Mode and using fully qualified paths for DLL loading where possible. Regularly audit systems for unauthorized DLL files in directories that are part of the search path. Finally, maintain robust logging and monitoring to detect any anomalous activity related to DLL loading or privilege escalation attempts.
Affected Countries
United States, China, Germany, Japan, South Korea, France, United Kingdom, Canada, India, Russia, Taiwan, Israel, Australia
CVE-2025-33231: CWE-427 Uncontrolled Search Path Element in NVIDIA CUDA Toolkit
Description
NVIDIA Nsight Systems for Windows contains a vulnerability in the application’s DLL loading mechanism where an attacker could cause an uncontrolled search path element by exploiting insecure DLL search paths. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service and information disclosure.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-33231 is a vulnerability classified under CWE-427 (Uncontrolled Search Path Element) affecting NVIDIA Nsight Systems for Windows, a component of the CUDA Toolkit prior to version 13.1. The issue arises from the application's DLL loading mechanism, which does not securely handle the search paths for dynamic link libraries. This insecure DLL search path can be exploited by an attacker who has local access and can trick the application into loading a malicious DLL placed in a directory that is searched before the legitimate DLL location. The vulnerability requires low privileges and user interaction, such as running the application or opening a project, to be exploited. Once exploited, it can lead to arbitrary code execution, allowing the attacker to escalate privileges, tamper with data, cause denial of service, or disclose sensitive information. The CVSS v3.1 base score is 6.7, reflecting medium severity with high impact on confidentiality, integrity, and availability but requiring local access and user interaction. No public exploits or active exploitation have been reported to date. The vulnerability affects all versions of the CUDA Toolkit before 13.1, which is widely used in GPU-accelerated computing environments for AI, scientific research, and high-performance computing on Windows platforms.
Potential Impact
The impact of CVE-2025-33231 is significant for organizations relying on NVIDIA CUDA Toolkit for GPU-accelerated workloads, particularly on Windows systems. Exploitation can lead to full code execution under the context of the vulnerable application, enabling attackers to escalate privileges from low-level user accounts. This can result in unauthorized access to sensitive data, manipulation or corruption of computational results, disruption of critical workloads through denial of service, and potential lateral movement within networks. Given the use of CUDA in research institutions, AI development firms, and enterprises utilizing GPU computing, the vulnerability could undermine data integrity and confidentiality in sensitive projects. Although exploitation requires local access and user interaction, insider threats or compromised endpoints could leverage this vulnerability to gain elevated control. The absence of known exploits reduces immediate risk, but the medium CVSS score and potential impact warrant proactive mitigation to prevent future attacks.
Mitigation Recommendations
To mitigate CVE-2025-33231, organizations should immediately upgrade all affected NVIDIA CUDA Toolkit installations to version 13.1 or later, where the DLL search path handling has been secured. Until patching is possible, restrict local access to systems running vulnerable versions to trusted users only and enforce strict endpoint security controls to prevent unauthorized code execution. Implement application whitelisting and monitor for suspicious DLL loading behavior using endpoint detection and response (EDR) tools. Educate users about the risk of executing untrusted files or projects within Nsight Systems. Additionally, administrators should review and harden the Windows DLL search order by applying Microsoft’s recommended mitigations such as enabling Safe DLL Search Mode and using fully qualified paths for DLL loading where possible. Regularly audit systems for unauthorized DLL files in directories that are part of the search path. Finally, maintain robust logging and monitoring to detect any anomalous activity related to DLL loading or privilege escalation attempts.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- nvidia
- Date Reserved
- 2025-04-15T18:51:07.602Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 696fc4054623b1157c437288
Added to database: 1/20/2026, 6:05:57 PM
Last enriched: 2/27/2026, 8:16:03 AM
Last updated: 3/26/2026, 6:51:15 AM
Views: 168
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.