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...

TensorFlow has segfault in array_ops.upper_bound

Impactarrayops.upperbound causes a segfault when not given a rank 2 tensor. PatchesWe have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586.The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more informationPlease...

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-2026-2452 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...

Invalid char to bool conversion when printing a tensor

ImpactWhen printing a tensor, we get it's data as a const char array since that's the underlying storage and then we typecast it to the element type. However, conversions from char to bool are undefined if the char is not 0 or 1, so sanitizers/fuzzers will crash. PatchesWe have patched the issue ...

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= ""...

Segfault in `CompositeTensorVariantToComponents`

ImpactAn input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents.pythonimport tensorflow as tfencode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2meta=...

Segfault in `CompositeTensorVariantToComponents`

ImpactAn input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents.pythonimport tensorflow as tfencode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2meta=...

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-2026-3284 `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, ...

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,...

Overflow in `FusedResizeAndPadConv2D`

ImpactWhen tf.rawops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows.pythonimport tensorflow as tfmode = "REFLECT"strides = 1, 1, 1, 1padding = "SAME"resizealigncorners = Falseinput = tf.constant147, shape=3,3,1,1, dtype=tf.float16size = tf.constant1879048192,1879048192,...

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

ImpactIf a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:pythonnp.ones0, 231, 231An example of a proof of concept:pythonimport numpy as npimport tensorflow as tfinputval =...

PYSEC-2026-3345 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf inputval =...

PYSEC-2026-3208 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf inputval =...

PYSEC-2026-3376 Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Impact tf.rawops.DynamicStitch specifies input sizes when it is registered. cpp REGISTEROP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction; When it receives a differing number of inputs, such as...

PYSEC-2026-3133 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

PYSEC-2026-3296 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...