737 matches found
CVE-2021-41204
TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in...
CVE-2021-41204 Segfault while copying constant resource tensor
TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in...
CVE-2021-41204
CVE-2021-41204 concerns TensorFlow. In affected builds, during Grappler optimizer constant folding, a deep copy of a resource tensor may be attempted, causing a segfault because such tensors should not change. The issue is addressed with a fix in TensorFlow 2.7.0, and a cherry-pick was applied to...
CVE-2021-41197
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-805
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-390
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-805
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-390
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
PYSEC-2021-607
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
CVE-2021-41197
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
CVE-2021-41197 Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs,...
Google TensorFlow 安全漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A security vulnerability exists in Google TensorFlow versions prior to 2.7.0, which stems from a lack of validation of the shape of the tensor parameter involved in a call...
Google TensorFlow 缓冲区错误漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. A buffer overflow vulnerability exists in Google TensorFlow, which stems from the fact that during the crawler optimization phase of the affected version of TensorFlow, constant folding may attempt to...
Google TensorFlow 数字错误漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A numeric error vulnerability exists in Google TensorFlow versions prior to 2.7.0, which stems from the implementation of the convolution operator triggering division by 0 when TensorFlow is...
PT-2021-23176 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The issue occurs during TensorFlow's Grappler optimizer phase, where constant...
Google TensorFlow 输入验证错误漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from an input validation error vulnerability that stems from the fact that TensorFlow allows tensors to have a large number of dimensions, each of which can be adjusted...
Google TensorFlow Buffer Overflow Vulnerability (CNVD-2022-09855)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a buffer overflow vulnerability that stems from the inability of the ""tf.rawops.RaggedGather"" parameter in the software to determine a valid ragged tensor code,...
GHSA-GH6X-4WHR-2QV4 Null pointer dereference and heap OOB read in operations restoring tensors
Impact When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer: python import tensorflow as tf tf.rawops.Restore filepattern='/tmp', tensorname=, defaultvalue=21, dt=tf.int, preferredshard=1 The same undefined behavior c...
GHSA-9C8H-VVRJ-W2P8 Heap OOB in `RaggedGather`
Impact If the arguments to tf.rawops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. python import tensorflow as tf tf.rawops.RaggedGather paramsnestedsplits = 0,0,0, paramsdensevalues = 1,1, indices = 0,0,9,0,0,...
GHSA-27J5-4P9V-PP67 `std::abort` raised from `TensorListReserve`
Impact Providing a negative element to numelements list argument of tf.rawops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements: python import tensorflow as tf tf.rawops.TensorListReserve elementshape = tf.constant1,...