941 matches found
EUVD-2026-60565
A security vulnerability has been detected in sonos tract up to 0.23.4. This impacts the function Tensor::fromrawdtalign of the file data/src/tensor.rs of the component ONNX Initializer Loader. Such manipulation leads to incorrect calculation of buffer size. The attack may be launched remotely. T...
PT-2026-76902
A security vulnerability has been detected in sonos tract up to 0.23.4. This impacts the function Tensor::from raw dt align of the file data/src/tensor.rs of the component ONNX Initializer Loader. Such manipulation leads to incorrect calculation of buffer size. The attack may be launched remotely...
CVE-2026-75093: Incorrect Calculation of Buffer Size
A security vulnerability has been detected in sonos tract up to 0.23.4. This impacts the function Tensor::fromrawdtalign of the file data/src/tensor.rs of the component ONNX Initializer Loader. Such manipulation leads to incorrect calculation of buffer size. The attack may be launched remotely. T...
SUSE CVE-2026-73557
vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safeloadpromptembeds in vllm/renderers/embedutils.py uses torch.sparse.checksparsetensorinvariants, whose process-global save, enable, and restore state can be raced by concurrent promptembeds parts...
Race Condition
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Race Condition through the safeloadpromptembeds function in vllm/renderers/embedutils.py when concurrent prompt parts are submitted to the...
CVE-2026-73557
vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safeloadpromptembeds in vllm/renderers/embedutils.py uses torch.sparse.checksparsetensorinvariants, whose process-global save, enable, and restore state can be raced by concurrent promptembeds parts...
CVE-2026-73557
CVE-2026-73557 affects vLLM between 0.20.2rc0 and 0.26.0. The flaw arises in safe_load_prompt_embeds in vllm/renderers/embed_utils.py, where using torch.sparse.check_sparse_tensor_invariants with a process-global save/enable/restore state can be raced via concurrent prompt_embeds (POST /v1/chat/c...
CVE-2026-73557 vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts
vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safeloadpromptembeds in vllm/renderers/embedutils.py uses torch.sparse.checksparsetensorinvariants, whose process-global save, enable, and restore state can be raced by concurrent promptembeds parts...
CVE-2026-73557
vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safeloadpromptembeds in vllm/renderers/embedutils.py uses torch.sparse.checksparsetensorinvariants, whose process-global save, enable, and restore state can be raced by concurrent promptembeds parts...
PT-2026-71672
Name of the Vulnerable Software and Affected Versions vLLM versions 0.20.2rc0 through 0.25.x Description A race condition exists in the safe load prompt embeds function within vllm/renderers/embed utils.py when enable prompt embeds is enabled. The issue occurs because torch.sparse.check sparse...
Out-of-bounds Read
Overview Affected versions of this package are vulnerable to Out-of-bounds Read in the adaptgemm76 function when processing input tensors with fewer than two dimensions. An attacker can cause a crash or potentially leak adjacent heap memory by providing a specially crafted model file with...
CVE-2026-65918
PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's readfromtensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fau...
CVE-2026-47470
NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause CWE-20 by local attack. A successful exploit of this vulnerability might lead to denial of service...
EUVD-2026-44468
NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause CWE-20 by local attack. A successful exploit of this vulnerability might lead to denial of service...
CVE-2026-47471
NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service...
CVE-2026-47471
NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service...
EUVD-2026-44451
NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service...
CVE-2026-47471
NVIDIA TensorRT-LLM (any platform) is reported vulnerable to a heap-based buffer overflow in tensor deserialization (CVE-2026-47471). Affected component: TensorRT-LLM’s tensor deserialization pathway. Consequences described: information disclosure, data tampering, and denial of service. Exploitat...
PT-2026-58754
NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service...
CVE-2026-47471: Heap-based Buffer Overflow
NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service...