PT-2021-23191 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: TensorFlow is an open source platform for machine learning. In affected versions...

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. Google TensorFlow suffers from a buffer error vulnerability that stems from the fact that in the affected version, QuantizeV2's shape inference code could trigger a read...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google TensorFlow is vulnerable to a buffer overflow vulnerability that stems from Transpose's shape inference function being vulnerable to a heap buffer overflow. No details of the vulnerability are...

PT-2021-23194 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference code for the Cudnn operations in TensorFlow can be tricked...

PT-2021-23183 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference functions for SparseCountSparseOutput can trigger a read...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. An out-of-bounds read vulnerability exists in the shape inference code of tf.ragged.cross in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No details of the vulnerability are currently available...

PT-2021-23177 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference functions for the QuantizeAndDequantizeV operations can...

PT-2021-23188 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference code for DeserializeSparse can trigger a null pointer...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. an out-of-bounds read vulnerability exists in the shape inference function of SparseCountSparseOutput in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No detailed vulnerability details are currently availab...

PT-2021-23189 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: The shape inference function for Transpose in TensorFlow is vulnerable to a heap...

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 USA. A buffer overflow vulnerability exists in Google TensorFlow, which stems from undefined behavior of the shape inference code of "tf.ragged.cross" due to a bound reference to "nullptr" in the...

Google TensorFlow 代码问题漏洞

Google TensorFlow, an end-to-end open source machine learning platform, is vulnerable to a null pointer dereference in the shape inference code of DeserializeSparse in versions of TensorFlow prior to 2.7.0. The vulnerability stems from the shape inference function assuming that the serializespars...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. an out-of-bounds read vulnerability exists in the shape inference function of the QuantizeAndDequantizeV operation in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No detailed vulnerability details are...

GHSA-9C8H-2MV3-49WW Division by 0 in most convolution operators

Impact Most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Conv2D input = tf.constant, shape=0, 0, 0, 0,...

GHSA-V768-W7M9-2VMM Reference binding to nullptr in shape inference

Impact An attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.SparseFillEmptyRows indices = tf.constant, shape=0, 0, dtype=tf.int64, values = tf.constant, shape=0,...

Reference binding to nullptr in shape inference

Impact An attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.SparseFillEmptyRows indices = tf.constant, shape=0, 0, dtype=tf.int64, values = tf.constant, shape=0,...

GHSA-QFPC-5PJR-MH26 Missing validation in shape inference for `Dequantize`

Impact The shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

GHSA-3HXH-8CP2-G4HG Use after free and segfault in shape inference functions

Impact When running shape functions, some functions such as MutableHashTableShape produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to...

Google TensorFlow shape inference function denial of service vulnerability

Google TensorFlow is an end-to-end open source machine learning platform. A denial of service vulnerability exists in the Google TensorFlow shape inference function. A local attacker can exploit this vulnerability to cause a denial of service condition...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...