SUSE CVE-2021-29586

TensorFlow is an end-to-end open source platform for machine learning. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling...

SUSE CVE-2021-37636

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case...

SUSE CVE-2021-41196

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...

SUSE CVE-2021-41213

TensorFlow is an open source platform for machine learning. In affected versions the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive. This occurs due to using a non-reentrant Lock Python object. Loading any model which...

CVE-2022-41899

TensorFlow is an open source platform for machine learning. Inputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will...

CVE-2022-36014

TensorFlow is an open source platform for machine learning. When mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes. We have patched the issue in GitHub commits 3a754740d5414e362512ee981eefba41561a63a6 and a0f0b9a21c9270930457095092f558fbad4c03e5. The fix will be included in...

GHSA-44QP-9WWF-734R Heap overflow in Tensorflow

Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None Patches We have...

PYSEC-2022-89

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...

PYSEC-2022-87

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

PYSEC-2022-74

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

PYSEC-2022-121

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the biassize is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23561

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive...

PYSEC-2022-65

Tensorflow is an Open Source Machine Learning Framework. Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to...

PYSEC-2022-51

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

PYSEC-2021-823

TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for Transpose is vulnerable to a heap buffer overflow. This occurs whenever perm contains negative elements. The shape inference function does not validate that the indices in perm are al...

PYSEC-2021-632

TensorFlow is an open source platform for machine learning. In affected versions the implementation of FusedBatchNorm kernels is vulnerable to a heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow...

PYSEC-2021-807

TensorFlow is an open source platform for machine learning. In affected versions if tf.image.resize is called with a large input argument then the TensorFlow process will crash due to a CHECK-failure caused by an overflow. The number of elements in the output tensor is too much for the int64t typ...

CVE-2021-37680

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is vulnerable to a division by zero error. We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be includ...

CVE-2021-37657

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixDiagV. The implementation has incomplete validation that the value of k is a valid...

GHSA-J8QC-5FQR-52FP Division by zero in `Conv2DBackpropFilter`

Impact An attacker can cause a division by zero to occur in Conv2DBackpropFilter: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 filtersizes = tf.constant0, 0, 0, 0, shape=4, dtype=tf.int32 outbackprop = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32...