81 matches found
SUSE CVE-2022-35999
TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...
GHSA-762H-VPVW-3RCX Overflow in `FusedResizeAndPadConv2D`
Impact When tf.rawops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. python import tensorflow as tf mode = "REFLECT" strides = 1, 1, 1, 1 padding = "SAME" resizealigncorners = False input = tf.constant147, shape=3,3,1,1, dtype=tf.float16 size =...
Google TensorFlow 安全漏洞
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 versions prior to 2.7.4, 2.8.0 and later, 2.8.1 and later, 2.9.0 and later, and 2.9.1 and earlier, which originates from "tf.rawops...
Google TensorFlow Conv2D Denial of Service Vulnerability
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that if Conv2D is specified as an empty input and the filter and padding sizes are valid, the output is all zeros...
Stack overflow
TensorFlow is an open source platform for machine learning. If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue ...
CVE-2022-35996
TensorFlow is an open source platform for machine learning. If "Conv2D" is given empty "input" and the "filter" and "padding" sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched th...
CVE-2022-35996 Floating point exception in `Conv2D` in TensorFlow
TensorFlow is an open source platform for machine learning. If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue ...
GHSA-Q2C3-JPMC-GFJX TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
Impact The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" usecudnnongpu = True explicitpaddings =...
TensorFlow vulnerable to floating point exception in `Conv2D`
Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...
Google TensorFlow 数字错误漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that if Conv2D is specified as an empty input and the filter and padding sizes are valid, the output is all zeros...
CVE-2022-35996: Divide By Zero
TensorFlow is an open source platform for machine learning. If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue ...
PT-2022-23068
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The implementation of Conv2DBackpropInput requires input sizes to be 4-dimensiona...
PT-2022-19453
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description The implementation of tf.raw ops.QuantizedConv2D does not fully validate the input argument...
Division by 0 in `Conv2D`
Impact An attacker can trigger a division by 0 in tf.rawops.Conv2D: python import tensorflow as tf input = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 filter = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 strides = 1, 1, 1, 1 padding = "SAME" tf.rawops.Conv2Dinput=input, filter=filter,...
GHSA-XM2V-8RRW-W9PM Division by 0 in `Conv2DBackpropInput`
Impact An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropInput: python import tensorflow as tf inputtensor = tf.constant52, 1, 1, 5, shape=4, dtype=tf.int32 filtertensor = tf.constant, shape=0, 1, 5, 0, dtype=tf.float32 outbackprop = tf.constant, shape=52, 1, 1, 0, dtype=tf.float...
GHSA-R4PJ-74MG-8868 Division by 0 in `Conv2DBackpropFilter`
Impact An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropFilter: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 1, 0, dtype=tf.float32 filtersizes = tf.constant1, 1, 1, 1, shape=4, dtype=tf.int32 outbackprop = tf.constant, shape=0, 0, 1, 1, dtype=tf.float32...
TensorFlow divide-by-zero error vulnerability (CNVD-2021-36566)
Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.Conv2D implementation in TensorFlow versions prior to 2.5.0. No details of the vulnerability are provided at this time...
CVE-2021-29526
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.Conv2D. This is because the implementationhttps://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/convops.ccL261-L263...
CVE-2021-29526
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.Conv2D. This is because the implementationhttps://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/convops.ccL261-L263...
