CVE-2011-0636 in CUDA Toolkit
Summary
by MITRE
The (1) cudaHostAlloc and (2) cuMemHostAlloc functions in the NVIDIA CUDA Toolkit 3.2 developer drivers for Linux 260.19.26, and possibly other versions, do not initialize pinned memory, which allows local users to read potentially sensitive memory, such as file fragments during read or write operations.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 01/08/2018
The vulnerability identified as CVE-2011-0636 represents a critical security flaw in the NVIDIA CUDA Toolkit 3.2 developer drivers for Linux systems. This issue affects two fundamental memory allocation functions within the CUDA runtime environment: cudaHostAlloc and cuMemHostAlloc. These functions are designed to allocate pinned memory that can be directly accessed by CUDA kernels, enabling high-performance data transfers between host and device memory. The flaw occurs because these functions fail to properly initialize the allocated memory regions before returning them to user applications. This initialization failure creates a situation where memory contents from previous operations or system processes remain accessible within the allocated memory space, potentially exposing sensitive data that was previously stored in those memory locations.
The technical nature of this vulnerability stems from improper memory management practices within the CUDA driver implementation. When applications request pinned memory through these functions, the driver allocates the memory but leaves it uninitialized, meaning that any data previously occupying those memory pages remains intact. This behavior creates a significant information disclosure risk, as local users can potentially access memory fragments containing sensitive information such as file contents, cryptographic keys, or other confidential data that may have been stored in those memory locations during previous read or write operations. The vulnerability specifically affects Linux systems running NVIDIA driver version 260.19.26 and potentially other versions of the CUDA Toolkit 3.2, making it a widespread issue across multiple system configurations.
From an operational perspective, this vulnerability poses substantial risks to systems utilizing CUDA for high-performance computing tasks. Local users with access to the system can exploit this weakness to gain unauthorized access to sensitive information that should not be accessible through normal application interfaces. The impact extends beyond simple data leakage, as the vulnerability could potentially be leveraged in combination with other exploits to facilitate more sophisticated attacks. The nature of CUDA applications often involves processing sensitive data in memory, making this information disclosure particularly dangerous. Additionally, since the vulnerability exists in the driver level, it affects all applications running on the system that utilize these memory allocation functions, creating a broad attack surface. This type of vulnerability is classified under CWE-1173, which addresses improper handling of memory allocation and initialization in system-level software components.
The security implications of CVE-2011-0636 align with several tactics and techniques documented in the MITRE ATT&CK framework, particularly those related to privilege escalation and information gathering. Attackers could potentially use this vulnerability to collect sensitive data from memory, which aligns with the information gathering phase of attack chains. The vulnerability also relates to privilege escalation techniques since local users can access memory contents that should normally be protected. Organizations implementing CUDA-based solutions should consider this vulnerability as part of their overall security posture assessment, particularly in environments where sensitive data processing occurs. The recommended mitigation strategies include updating to patched versions of the NVIDIA CUDA Toolkit, implementing proper memory initialization practices in application code, and conducting thorough security reviews of CUDA-based applications. System administrators should also consider implementing additional monitoring and access controls to detect potential exploitation attempts.
This vulnerability demonstrates the importance of proper memory management in low-level system components and highlights the risks associated with driver-level security flaws. The issue represents a classic case of uninitialized memory access that could be exploited to create information disclosure channels within otherwise secure systems. Security practitioners should view this vulnerability as an example of why comprehensive security testing of system-level components is essential, particularly for hardware-accelerated computing environments where memory management complexities increase the potential for security flaws. The vulnerability also underscores the need for regular security updates and patches, as well as the importance of maintaining awareness of security issues in specialized computing frameworks such as CUDA that are increasingly used in enterprise environments.