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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

NVIDIA CUDA Toolkit Flaw Allows Command Injection, Arbitrary Code Execution

## Cybersecurity: NVIDIA CUDA Toolkit Security Update

Cybersecurity: NVIDIA CUDA Toolkit Security Update

NVIDIA has released an update for its CUDA Toolkit to address critical vulnerabilities that pose risks of command injection and arbitrary code execution. These vulnerabilities, identified in the Nsight Systems and related tools, were disclosed on January 20, 2026, affecting all versions prior to CUDA Toolkit 13.1 on Windows and Linux.

The vulnerabilities allow potential attackers to exploit the system through malicious inputs during manual script invocation or insecure paths. This could lead to privilege escalation, data tampering, denial of service (DoS), and information leaks. The issues are primarily due to inadequate input validation and insecure DLL loading, which could allow local attackers with low privileges to inject OS commands or load malicious libraries.

Only local exploitation is possible, requiring user interaction, such as running scripts manually. The vulnerabilities have a Common Vulnerability Scoring System (CVSS) score of 7.3 for three of the CVEs and 6.7 for one, indicating a high impact in environments like data centers or multi-user development setups.

CVE-2025-33228: OS command injection in Nsight Systems via malicious strings. CVE-2025-33229: Arbitrary code execution in Nsight Visual Studio Monitor. CVE-2025-33230: OS command injection in Nsight Systems Linux installer. CVE-2025-33231: Uncontrolled search path in Nsight Systems Windows DLL loading.

NVIDIA has released an update for its CUDA Toolkit to address critical vulnerabilities that pose risks of command injection and arbitrary code execution.
Carter Hartwell · Thehackingpost

Users are advised to upgrade to CUDA Toolkit 13.1, which addresses these vulnerabilities. Version verification can be performed using nvcc --version or consulting the toolkit release notes. For Linux installations, avoid using custom paths with untrusted input. On Windows, enforce secure DLL search orders using environment variables such as SAFE_DLL_SEARCH_MODE=1 .

NVIDIA assesses the risk as average across installations but recommends tailored evaluations, especially for air-gapped or high-privilege developer machines. Users are encouraged to monitor updates through NVIDIA Product Security subscriptions and report any issues to NVIDIA Support.

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This update highlights the importance of securing developer tools, particularly in environments utilizing AI/ML workflows that rely on CUDA, to prevent potential insider or supply-chain threats.

Based on reporting by GBHackers.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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