602 matches found
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. A security vulnerability exists in Google TensorFlow, which stems from the fact that in affected versions, an attacker can cause undefined behavior by binding references to null pointers in...
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 "tf.rawops.UpperBound". An attacker could exploit this vulnerability to read data from outside the boundaries of the heap allocation data and use this information to laun...
Google TensorFlow 代码问题漏洞
Google TensorFlow is an end-to-end open source machine learning platform. An arbitrary code execution vulnerability exists in Google TensorFlow versions prior to 2.6.0. The vulnerability stems from YAML deserialization. An attacker can exploit this vulnerability to execute arbitrary code...
PT-2021-21785 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can cause denial of service in applications serving models using...
Google TensorFlow 安全漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow, which could be exploited by an attacker to cause a denial of service in "boostedtreescreatequantilestream resource" using the negation parameter...
PT-2021-21772 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: TensorFlow is an end-to-end open source platform for machine learning. In affect...
Google TensorFlow 数字错误漏洞
Google TensorFlow, an end-to-end open source machine learning platform, is vulnerable to a divide by zero error in versions prior to Google TensorFlow 2.6.0. An attacker could exploit the vulnerability through a specially crafted parameter call in-place to cause a floating point exception, which...
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 versions prior to 2.6.0. The vulnerability stems from the MLIR optimization of the L2NormalizeReduceAxis operator. An attacker can exploit the vulnerability to cause a...
Google TensorFlow suffers from an unspecified vulnerability (CNVD-2021-48856)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Google TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4, which stems from a lack of validation in tf.rawops.RaggedTensorToTensor, and can be exploited by an...
Google TensorFlow suffers from an unspecified vulnerability (CNVD-2021-48857)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Google TensorFlow 2.4.2, 2.3.3, 2.2.3, 2.1.4, which stems from the absence of loops between nodes of a TFlite graph. No detailed vulnerability details are...
Google TensorFlow Arbitrary File Overwrite Vulnerability
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from an arbitrary file overwrite vulnerability, which originates from an issue caused when tf.keras.utils.getfile is used with extract=True, and can be exploited by an...
Google TensorFlow code issue vulnerability (CNVD-2021-46657)
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...
CVE-2021-35958
TensorFlow through 2.5.0 allows attackers to overwrite arbitrary files via a crafted archive when tf.keras.utils.getfile is used with extract=True. NOTE: the vendor's position is that tf.keras.utils.getfile is not intended for untrusted archives...
GHSA-6F89-8J54-29XF Heap buffer overflow in `FractionalAvgPoolGrad`
Impact The implementation of tf.rawops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputtensorshape = tf.constant1, 3, 2, 3, shape=4, dtype=tf.int64 outbackprop = tf.constant2, shape=1, 1, 1, 1, dtype=tf.int64 rowpoolingsequence = tf.constant1...
GHSA-PVRC-HG3F-58R6 Heap OOB access in `Dilation2DBackpropInput`
Impact An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to tf.rawops.Dilation2DBackpropInput: python import tensorflow as tf inputtensor = tf.constant1.1 81, shape=3, 3, 3, 3, dtype=tf.float32 filter = tf.constant, shape=0, 0, 3, dtype=tf.float32...
GHSA-X4G7-FVJJ-PRG8 Division by 0 in `QuantizedConv2D`
Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D: python import tensorflow as tf input = tf.zeros1, 1, 1, 1, dtype=tf.quint8 filter = tf.constant, shape=1, 0, 1, 1, dtype=tf.quint8 mininput = tf.constant0.0 maxinput = tf.constant0.0001 minfilter = tf.constant0.0 maxfilt...
GHSA-452G-F7FP-9JF7 Type confusion during tensor casts lead to dereferencing null pointers
Impact Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. There are multiple ways to reproduce this, listing a few examples here: python import tensorflow as tf import numpy as np data =...
TensorFlow heap buffer overflow vulnerability (CNVD-2021-36543)
Google TensorFlow is an end-to-end open source machine learning platform. A heap buffer overflow vulnerability exists in the QuantizedMul implementation in TensorFlow versions prior to 2.5.0. An attacker can exploit this vulnerability by passing an invalid quantization threshold that results in a...
Google TensorFlow divide-by-zero error vulnerability (CNVD-2021-36562)
Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.Conv3DBackprop implementation in TensorFlow versions prior to 2.5.0. No detailed vulnerability details are provided at this time...
TensorFlow divide-by-zero error vulnerability (CNVD-2021-36564)
Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.Conv2DBackpropFilter implementation in TensorFlow versions prior to 2.5.0. No detailed vulnerability details are provided at this time...