203 matches found
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-2021-822
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank and having 3 ...
PYSEC-2021-409
TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in th...
CVE-2021-41223
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...
CVE-2021-41224
TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseFillEmptyRows can be made to trigger a heap OOB access. This occurs whenever the size of indices does not match the size of values. The fix will be included in TensorFlow 2.7.0. We will al...
PYSEC-2021-391
TensorFlow is an open source platform for machine learning. In affected versions if tf.tile 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 type and th...
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...
PYSEC-2021-806
TensorFlow is an open source platform for machine learning. In affected versions if tf.tile 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 type and th...
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-2021-41198
TensorFlow is an open source platform for machine learning. In affected versions if tf.tile 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 type and th...
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...
PT-2021-23178 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow version 2.6.1 TensorFlow version 2.5.2 TensorFlow version 2.4.4 Description: Several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call...
GHSA-HP4C-X6R7-6555 Floating point exception in `SparseDenseCwiseDiv`
Impact The implementation of tf.rawops.SparseDenseCwiseDiv is vulnerable to a division by 0 error: python import tensorflow as tf import numpy as np tf.rawops.SparseDenseCwiseDiv spindices=np.array4, spvalues=np.array-400, spshape=np.array647., dense=np.array0 The implementation uses a common cla...
GHSA-RHRQ-64MQ-HF9H FPE in TFLite division operations
Impact The implementation of division in TFLite is vulnerable to a division by 0 error There is no check that the divisor tensor does not contain zero elements. Patches We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6....
CVE-2021-37684
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit...
PYSEC-2021-294
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.rawops.SdcaOptimizerV2. The implementation does not check that the length of...
PYSEC-2021-306
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit...
PYSEC-2021-794
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...
CVE-2021-37683
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...
PYSEC-2021-794
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...