PT-2021-18271 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: Missing validation between arguments to tf.raw ops.Conv3DBackprop operations can result in hea...

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, Inc. in the United States. A security vulnerability exists in Google TensorFlow versions 2.4.2,2.3.3,2.2.3, and 2.1.4, which stems from an implementation of tf.io.decoderaw that produces incorrect...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow tf.rawops.ImmutableConst. A local attacker can exploit this vulnerability to cause a denial of service...

PT-2021-18365 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: The implementation of tf.io.decode raw produces incorrect results and crashes the Python...

PT-2021-18340 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: The reference implementation of the GatherNd TFLite operator is vulnerable to a division by ze...

PT-2021-18267 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: Calling tf.raw ops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor...

PT-2021-18272 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.1 and earlier TensorFlow versions 2.3.2 and earlier Description: Specifying a negative dense shape in tf.raw ops.SparseCountSparseOutput results in a segmentation fault being thrown o...

PT-2021-18329 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The implementation of tf.raw...

PT-2021-18368 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: An attacker can cause a denial of service...

PT-2021-18276 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: An attacker can trigger a division by 0 in...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow EditDistance. An attacker can exploit the vulnerability to trigger a null pointer dereference when implementing 'tf.rawuops.EditDistance...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in Google TensorFlow RaggedCross. An attacker can exploit the vulnerability by passing invalid tensor values to tf.rawops.RaggedCross to cause a heap out-of-bounds read...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in DepthToSpace in Google TensorFlow. No details of the vulnerability are provided at this time...

PT-2021-18332 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: Due to lack of validation in tf.raw...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a security vulnerability that can be exploited by an attacker to cause a crash by passing a complex parameter to tf.transpose while passing the conjugate=True parameter to...

PT-2021-18342 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: TensorFlow is an end-to-end open source...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A stack overflow vulnerability exists in ParseAttrValue in Google TensorFlow. An attacker can exploit the vulnerability to cause a stack overflow...

PT-2021-18308 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: An attacker can cause a denial of service via a FPE runtime error in tf.raw ops.SparseMatMul...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in DepthwiseConv in Google TensorFlow. No details of the vulnerability are provided at this time...

PT-2021-18290 · Unknown · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 Description: The issue arises when calling tf.raw ops.ImmutableConst with a dtype of tf.resource or tf.variant, resulting in a segfault. This occurs because the code assumes that the tensor contents are pure...