CVE-2026-75093

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...

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...

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...

EUVD-2026-58064

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

vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe load prompt embeds in vllm/renderers/embed utils.py uses torch.sparse.check sparse tensor invariants, whose process-global save, enable, and restore state can be raced by concurrent prompt embeds...

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...

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 (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...

Security Bulletin: NVIDIA TensorRT-LLM - July 2026

NVIDIA has released a software update for NVIDIA® TensorRT-LLM. To protect your system, clone or update this software from the NVIDIA/TensorRT-LLM GitHub repo. Go to NVIDIA Product Security. Details The following table summarizes the potential vulnerabilities that this security update addresses a...

PYSEC-2026-2452 Reverb use after free vulnerability

There exists a use after free vulnerability in Reverb. Reverb supports the VARIANT datatype, which is supposed to represent an arbitrary object in C++. When a tensor proto of type VARIANT is unpacked, memory is first allocated to store the entire tensor, and a ctor is called on each instance...

PYSEC-2026-3115 TensorFlow has Floating Point Exception in TensorListSplit with XLA

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.rawops.TensorListSplit para = 'tensor': 1, 'elementshape': -1, 'lengths': 0 @tf.functionjitcompile=True def fuzzjit: y = funcpara return y printfuzzjit Patches We have patched the issue in GitHub commit...

PYSEC-2026-3238 Segfault in `CompositeTensorVariantToComponents`

Impact An input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents. python import tensorflow as tf encode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2 meta= ""...

PYSEC-2026-3368 Segfault in `CompositeTensorVariantToComponents`

Impact An input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents. python import tensorflow as tf encode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2 meta= ""...

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

ImpactIf tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.pythonimport numpy as npimport tensorflow as tfa = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5b = np.zeros0, 2, 3,...

PYSEC-2026-3283 Segfault in `tf.raw_ops.TensorListConcat`

Impact If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

PYSEC-2026-3284 `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. python import numpy as np import tensorflow as tf a = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5 b = np.zeros0, 2, ...