299 matches found
CVE-2022-0546
A missing bounds check in the image loader used in Blender 3.x and 2.93.8 leads to out-of-bounds heap access, allowing an attacker to cause denial of service, memory corruption or potentially code execution...
CVE-2022-0546: Integer Overflow or Wraparound
A missing bounds check in the image loader used in Blender 3.x and 2.93.8 leads to out-of-bounds heap access, allowing an attacker to cause denial of service, memory corruption or potentially code execution...
Out of bounds read in Tensorflow
Impact The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses: python import tensorflow as tf @tf.function def test: y = tf.rawops.Dequantize input=tf.constant1,1,dtype=tf.qint32, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...
CVE-2022-21726 Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...
CVE-2022-21726: Out-of-bounds Read
Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...
Mageia: Security Advisory (MGASA-2015-0245)
The remote host is missing an update for the SPDX-FileCopyrightText: 2022 Greenbone AG 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-only ifdescription...
GHSA-57WX-M983-2F88 Incomplete validation in boosted trees code
Impact The code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding references to nullptrs. An attacker can also read and write from heap...
Incomplete validation of shapes in multiple TF ops
Impact Several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes but in some scenarios writes and reads from heap populated arrays are als...
PYSEC-2021-617
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...
PYSEC-2021-400
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...
Design/Logic Flaw
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...
PYSEC-2021-400
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...
PYSEC-2021-843
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...
CVE-2021-41206
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...
CVE-2021-41208
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...
CVE-2021-41226
TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...
PYSEC-2021-818
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start o...
CVE-2021-41226
TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. The fix will be included ...
PYSEC-2021-633
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...
CVE-2021-41224: Out-of-bounds Read
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...