PT-2021-18321 · 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-2021-18320 · 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-2021-18335 · 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 trigger a denial of service via a CHECK-fail caused by an integer overflow in...

PT-2021-18318 · 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 issue is due to a lack of validation i...

PT-2021-18301 · 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 runtime division by zero error and denial of service in tf.raw...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap out-of-bounds read vulnerability exists in tf.rawops.MaxPoolGradWithArgmax in Google TensorFlow. An attacker can exploit the vulnerability by constructing inputs to the "tf.raw\u ops.MaxPoolGradWithArgmax"...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap out-of-bounds access vulnerability exists in Google TensorFlow SparseDenseCwiseMul. An attacker can exploit the vulnerability by passing an invalid parameter to "tf.raw\u ops.backpropinput" to write outside the...

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 SparseFillEmptyRows. An attacker can exploit the vulnerability to trigger null pointer dereference in the "tf.raw\u ops.SparseFillEmptyRows" implementation...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap out-of-bounds read vulnerability exists in Google TensorFlow. An attacker can exploit the vulnerability to read data outside the boundaries of the heap allocation buffer in "tf.raw\u ops.QuantizeAndDequantizeV3"...

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 Google TensorFlow. The vulnerability stems from an FPE runtime error in tf.rawops.FusedBatchNorm. An attacker can exploit the vulnerability to cause a denial of service...

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 MatrixTriangularSolve in Google TensorFlow. A locally authenticated attacker can exploit this vulnerability to cause a denial of service condition...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.QuantizedBatchNormWithGlobalNormalization implementation in Google TensorFlow. An attacker could exploit this vulnerability to cause a denial of service...

Google TensorFlow 代码问题漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A code issue vulnerability exists in TensorFlow 2.4.2,2.3.3,2.2.3,2.1.4, which can be exploited by an attacker to cause a denial of service by exploiting a CHECK failure from the implementation...

Google TensorFlow 代码问题漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A code issue vulnerability exists in TensorFlow 2.4.2,2.3.3,2.2.3,2.1.4, which can be exploited by an attacker to cause a denial of service by exploiting a CHECK failure from the implementation...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.QuantizedConv2D implementation in TensorFlow versions prior to 2.5.0. No detailed vulnerability details are provided at this time...

PT-2021-18291 · 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 heap buffer overfl...

PT-2021-18326 · 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-2021-18322 · 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-2021-18367 · 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 TrySimplify has undefined behavior due to dereferencing a null pointer i...

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...