Google TensorFlow输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to input validation errors in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, stemming from tf.rawops GetSessionTensor does not fully validate the input parameters and can be exploited to...

Google TensorFlow输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to input validation errors in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, stemming from tf.rawops DeleteSessionTensor does not fully validate the input parameters and can be exploited ...

Google TensorFlow输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to an input validation error in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which originates in tf.rawops QuantizeAndDequantizeV4Grad does not fully validate the input parameters and c...

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. Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2 and 2.6.4 are vulnerable to buffer errors, which originate from tf.rawops. EditDistance has incomplete validation for implementations. An attacker...

Google TensorFlow资源管理错误漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A resource management error vulnerability exists in Google TensorFlow versions prior to 2.9.0, prior to 2.8.1, prior to 2.7.2, and prior to 2.6.4, which stems from the fact that tf.ragged.consta...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 are vulnerable to a code issue stemming from tf.rawops. QuantizedConv2D does not fully validate input parameters. No detailed...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to input validation errors in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, stemming from tf.rawops LoadAndRemapMatrix does not fully validate the input parameters and can be exploited t...

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. An input validation error vulnerability exists in TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from the fact that tf.rawops.UnsortedSegmentJoin does not fully validat...

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. An input validation error vulnerability exists in Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from the fact that tf.rawops.Conv3DBackpropFilterV2 does not ful...

PT-2022-19466

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The issue is related to the lack of input validation in the tf.compat.v1.signal.rfft2d and...

PT-2022-19443

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.GetSessionTensor does not fully validate the input...

PT-2022-19451

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.LoadAndRemapMatrix does not fully validate the input...

PT-2022-19455

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.SpaceToBatchND is vulnerable to an integer overflow. This...

PT-2022-19444

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.QuantizeAndDequantizeV4Grad does not fully validate the...

PT-2022-19457

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1...

PT-2022-19446

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description TensorFlow is an open source platform for machine learning. The implementation of tf.raw...

Google TensorFlow输入验证错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to an input validation error in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which originates in tf.rawops LSTMBlockCell does not fully validate the input parameters and can be exploite...

PT-2022-19461

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description TensorFlow is an open source platform for machine learning. The macros that TensorFlow uses...

Security Bulletin: IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow

Summary IBM Watson Discovery for IBM Cloud Pak for Data contains a vulnerable version of TensorFlow. Vulnerability Details CVEID: CVE-2022-21741 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused by a divide-by-zero condition in the implementation of depthwise convolutions in...

Incomplete validation in `SparseSparseMinimum`

Impact Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data: python import tensorflow as tf aindices = tf.ones45, 92, dtype=tf.int64 avalues = tf.ones45, dtype=tf.int64...