9269 matches found
CVE-2021-37660
CVE-2021-37660 describes a division-by-zero flaw in TensorFlow’s inplace operations due to a logic error in inplace_ops.cc. The faulty condition uses || instead of &&, allowing a floating-point exception when crafted inputs are provided. The issue has been patched in the GitHub commit e86605c0a33...
CVE-2021-37653
TensorFlow Cortex: CVE-2021-37653 affects TensorFlow’s tf.raw_ops.ResourceGather. The issue stems from computing batch_size and dividing by it without validating 0, causing a local crash (denial of service). A patch exists in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11 and should be in...
CVE-2021-37653 Division by 0 in `ResourceGather` in TensorFlow
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-2021-37653
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-2021-37642 Division by 0 in `ResourceScatterDiv` in TensorFlow
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-2021-37642
CVE-2021-37642 involves TensorFlow’s tf.raw_ops.ResourceScatterDiv, where an implementation division-by-zero can occur in affected builds. Public details confirm this is rooted in the shared binary-ops class and that a patch was applied in GitHub commit 4aacb30888638da75023e6601149415b39763d76, w...
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-2021-37640
CVE-2021-37640 affects TensorFlow and relates to the SparseReshape path. The issue arises when tf.raw_ops.SparseReshape can trigger a division by zero due to the reshape functor not validating that both input and target shapes have a non-zero element count. This can lead to an integral division b...
CVE-2021-37640 Integer division by 0 in sparse reshaping in TensorFlow
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-2021-37640
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-2021-37636
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...
CVE-2021-37636
CVE-2021-37636 concerns TensorFlow with a vulnerability in tf.raw_ops.SparseDenseCwiseDiv where division by zero can occur due to how a shared binary-ops class handles this case. The issue affects affected TensorFlow versions and has been addressed by patching the underlying code in a GitHub comm...
CVE-2021-37636 Floating point exception in `SparseDenseCwiseDiv` in TensorFlow
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...
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 TensorFlow inputsplits tensor has a code execution vulnerability that could be exploited by attackers to execute arbitrary code on the system...
Google TensorFlow缓冲区错误漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow that could be exploited to cause TensorFlow to terminate abnormally...
Google TensorFlow代码问题漏洞
Google TensorFlow is an end-to-end open source machine learning platform. tf.rawops.CompressElement in versions prior to Google TensorFlow 2.6.0 is vulnerable to null pointer dereference. An attacker could exploit the vulnerability by passing invalid input to cause a null pointer dereference...
Google TensorFlow缓冲区错误漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from 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,...
Google TensorFlow 数字错误漏洞
Google TensorFlow is an end-to-end open source machine learning platform. A denial of service vulnerability exists in Google TensorFlow 'tf.rawops.UnravelIndex'. An attacker can exploit the vulnerability to cause a denial of service...
Google TensorFlow 代码问题漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google Tensorflow, which can be exploited by local attackers to cause a denial of service...
PT-2021-21762 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The issue arises when a user does not supply arguments that determine a valid sparse tensor, causing the tf.raw...