1107 matches found
Low: cuda-cuxxfilt-12-8
Issue Overview: NVIDIA CUDA toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service. CVE-2024-53870...
Low: cuda-toolkit-12
Issue Overview: NVIDIA CUDA toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service. CVE-2024-53870...
Low: cuda-nsight-compute-12-8
Issue Overview: NVIDIA CUDA toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service. CVE-2024-53870...
CVE-2025-1979 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-12.6...
GHSA-W4RH-FGX7-Q63M vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-12.6...
GHSA-389X-67PX-MJG3 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
CVE-2025-32381 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
SUSE CVE-2025-3136
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
Mismatched Memory Management Routines
Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Mismatched Memory Management Routines through the torch.cuda.memory.cachingallocatordelete function. An attacker can corrupt memory by manipulating th...
PYSEC-2025-197
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
DEBIAN-CVE-2025-3136
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
PYSEC-2025-197
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
UBUNTU-CVE-2025-3136
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
CVE-2025-3136 PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.cachingallocatordelete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The...
CVE-2025-3136
CVE-2025-3136 is reported in PyTorch 2.6.0 affecting the function torch.cuda.memory.caching_allocator_delete in c10/cuda/CUDACachingAllocator.cpp. The issue causes memory corruption and requires local access to exploit; the exploit has been disclosed publicly. Connected sources corroborate the sa...
CVE-2024-9052 vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
GHSA-PGR7-MHP5-FGJP vulnerabilities
Vulnerabilities for packages: py3.10-vllm-cuda-11.8...
PYSEC-2025-190
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnqSigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zeropoint leads to improper initialization. The attack needs to be approached...
PYSEC-2025-189
A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler.callendcallbacksonjitfut of the component Tuple Handler. The manipulation of the argument None leads to memory corruption. The attack can be launch...
The vulnerability of the nvdisasm file in the NVIDIA CUDA Toolkit software for parallel computing on Graphics Processing Units allows a hacker to induce a service failure.
The vulnerability of the nvdisasm function in the NVIDIA CUDA Toolkit for parallel computing on Graphics Processing Units is related to the use of a zero pointer. Exploiting this vulnerability could allow an attacker to cause a system failure...