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 security vulnerability exists in Google TensorFlow, which stems from the GPU kernel failing to assert when tf.linalg.matrixrank receives a null input a, which can be used to trigger a denial-of-servic...

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 AudioSummaryV2 receives an input samplerate containing multiple elements, it gives an assertion failure...

PT-2022-23063

Name of the Vulnerable Software and Affected Versions TensorFlow versions 2.7.2 through 2.9.1 TensorFlow version 2.10.0 is not affected as it includes the fix. Description The implementation of BlockLSTMGradV2 does not fully validate its inputs, resulting in a segfault that can be used to trigger...

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-2022-23084

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 occurs when RaggedBincount is given an empty input tensor splits, resulting in a segfault that can be used to trigger a denial of service...

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 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-2022-23102

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 RandomPoissonV2 receives large input shape and rates,...

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 FakeQuantWithMinMaxVars will fail to assert if it is given a tensor of non-zero rank min or max. An attacker...

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 LRNGrad is given an outputimage input tensor that is not 4-D, it will cause an...

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...

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 an overflow that can occur if the limits parameter of the RaggedRangOp function is a...

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...

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 when tf.quantization.fakequantwithminmaxvarsgradient receives non-scalar inputs min or...

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...

PT-2022-23119

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 when FakeQuantWithMinMaxVarsPerChannel is given min or max tenso...

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 a failure of the current CPU/GPU kernel assertion one with dnnl and the other with cudnn when...

PT-2022-23097

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.0 through 2.9.0 TensorFlow versions 2.8.0 through 2.8.0 TensorFlow versions 2.7.0 through 2.7.1 Description The issue occurs when Conv2DBackpropInput receives empty out backprop input...