PT-2022-23116

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when tensorflow::full type::SubstituteFromAttrs receives a...

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. Google TensorFlow suffers from a security vulnerability that stems from the AvgPoolGrad implementation not fully validating the input originputshape. This can lead to an...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has an input validation error vulnerability that stems from the fact that the BlockLSTMGradV2 implementation does not fully validate its input, which could be exploited by an attacker to...

PT-2022-23095

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when the tf.sparse.cross function receives an input separator th...

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. Google TensorFlow suffers from a security vulnerability that stems from the fact that when tf.quantization.fakequantwithminmaxvarsperchannelgradient receives an input min o...

PT-2022-23072

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1, 2.8.1, and 2.7.2 Description The issue arises when QuantizedMatMul is given nonscalar input for: min a, max a, min b, or max b. This can trigger a segfault, leading to a denial of...

PT-2022-23040

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of...

PT-2022-23059

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue arises in core/kernels/list kernels.cc's TensorListReserve where num...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google. Google TensorFlow has a security vulnerability that stems from the fact that the implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives an assertion failu...

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 that stems from a segmentation error that can be used to trigger a denial-of-service attack if RaggedBincount is given...

PT-2022-23058

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The implementation of AvgPool3DGradOp does not fully validate the input orig inpu...

PT-2022-23082

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue arises from ParameterizedTruncatedNormal assuming shape is of type int3...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc...

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, which stems from the fact that if tf.sparse.cross receives an input separator that is not a scalar, it fails with an...

Google TensorFlow 安全漏洞

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 stems from the fact that when CollectiveGather receives a scalar input input, it gives an assertion of failure, which can be exploite...

PT-2022-23088

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when tf.quantization.fake quant with min max vars per channel...

PT-2022-23041

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The implementation of SobolSampleOp is vulnerable to a denial of service via...

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, Inc. in the United States. Google TensorFlow suffers from an input validation error vulnerability that stems from it crashing when RangeSize receives a value that does not fit into int64t. The...

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. Google TensorFlow suffers from a security vulnerability that stems from the fact that it crashes when mlir::tfg::ConvertGenericFunctionToFunctionDef is given the null...

Google TensorFlow 数字错误漏洞

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 stems from the fact that if Conv2D is specified as an empty input and the filter and padding sizes are valid, the output is all zeros...