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...

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...

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 function of SparseCountSparseOutput in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No detailed vulnerability details are currently availab...

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...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

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,...

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-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,...

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...

hw: L1D Cache Eviction Sampling

A microarchitectural timing flaw was found on some Intel processors. A corner case exists where data in-flight during the eviction process can end up in the “fill buffers” and not properly cleared by the MDS mitigations. The fill buffer contents which were expected to be blank can be inferred usi...

Apple tvOS 安全漏洞

Apple tvOS is a set of smart TV operating systems from the American company Apple. A security vulnerability exists in several Apple products, where an attacker with physical access to an iOS device may be able to determine the characteristics of a user's password in a secure text input field. The...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

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...

PYSEC-2021-299

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...

PYSEC-2021-788

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...

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...