1465 matches found
PYSEC-2021-259
TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.rawops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function...
PYSEC-2021-562
TensorFlow is an end-to-end open source platform for machine learning. The code for tf.rawops.UncompressElement can be made to trigger a null pointer dereference. The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressin...
PYSEC-2021-754
TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.rawops.MatrixDiagPartOp, then the code triggers a null pointer dereference if input is empty or produces invalid behavior, ignoring all values after the first. The...
PYSEC-2021-269
TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.rawops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails...
PYSEC-2021-259
TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.rawops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function...
PYSEC-2021-260
TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for rowpartitiontypes of tf.rawops.RaggedTensorToTensor API results in a null pointer dereference and undefined behavior. The implementation accesses the first element of a user supplied list of values...
CVE-2021-37637
TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to tf.rawops.CompressElement. The implementation was accessing the size of a buffer obtained from the return of a separate function...
PYSEC-2021-553
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...
CVE-2021-37642
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.ResourceScatterDiv 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...
CVE-2021-37660
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing i...
PYSEC-2021-262
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...
PYSEC-2021-764
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...
PYSEC-2021-258
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...
PYSEC-2021-566
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...
CVE-2021-37647
TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.rawops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails...
CVE-2021-37643
TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.rawops.MatrixDiagPartOp, then the code triggers a null pointer dereference if input is empty or produces invalid behavior, ignoring all values after the first. The...
CVE-2021-37660
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing i...
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...
openSUSE: Security Advisory for 389-ds (openSUSE-SU-2021:0868-1)
The remote host is missing an update for the Copyright C 2021 Greenbone Networks GmbH Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-or-later This program is free software; you can...
GHSA-MQ5C-PRH3-3F3H Invalid validation in `QuantizeAndDequantizeV2`
Impact The validation in tf.rawops.QuantizeAndDequantizeV2 allows invalid values for axis argument: python import tensorflow as tf inputtensor = tf.constant0.0, shape=1, dtype=float inputmin = tf.constant-10.0 inputmax = tf.constant-10.0 tf.rawops.QuantizeAndDequantizeV2 input=inputtensor,...