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 fact that when SetSize receives an input setshape that is not a one-dimensional tensor, it fails with an assertion that can be...

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 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-2022-23088

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...

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 an implementation of FractionalAvgPoolGrad that does not fully validate the input...

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 a denial-of-service attack triggered by RandomPoissonV2 failing to give an assertion when it receive...

PT-2022-23047

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.0 through 2.9.1 TensorFlow versions 2.8.0 through 2.8.1 TensorFlow versions 2.7.0 through 2.7.2 Description The AvgPoolOp function in TensorFlow takes an argument ksize that must be...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google TensorFlow suffers from a code issue vulnerability that stems from when "mlir::tfg::GraphDefImporter:: ConvertNodeDef" attempts to convert a nodedef with an unoperated name, it crashes, and 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. A security vulnerability exists in Google TensorFlow that stems from TensorListScatter and TensorListScatterV2 failing to give an assertion when they receive an elementsha...

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 an assertion failure if FakeQuantWithMinMaxVarsPerChannel is assigned a tensor of min or max rank that...

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 QuantizeAndDequantizeV3 is given a non-scalar numbits input tensor, it will cause t...

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 AvgPoolOp function accepting a parameter ksize , which must be positive but is not checked. An attacker could exploit...

PT-2022-23125

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 the QuantizeAndDequantizeV3 function is given a nonscalar n...

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 providing a list of rtnestedsplits for a RaggedTensorToVariant that contains a rank...

PT-2022-23068

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 Conv2DBackpropInput requires input sizes to be 4-dimensiona...

PT-2022-23099

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 mlir::tfg::ConvertGenericFunctionToFunctionDef is given emp...

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 UnbatchGradOp function accepting an argument id that is assumed to be scalar. A non-scalar id ca...

GHSA-MG66-QVC5-RM93 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf indices = tf.constant53, shape=3, dtype=tf.int64 values =...

Heap-based Buffer Overflow

tensorflow is vulnerable to heap-based buffer overflow. The use of AllocatedBytes in the insecure hash function AbslHashValue allows local authenticated attackers to cause heap-based buffer overflows resulting in denial of service conditions...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Lack of proper validation of input arguments to tf.rawops.QuantizeAndDequantizeV4Grad leads to CHECK-failure, causing an applicaiton crash...