Google TensorFlow 输入验证错误漏洞

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 an input validation error vulnerability that stems from a segmentation error that can be used to trigger a denial-of-service attack if...

Google TensorFlow 输入验证错误漏洞

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 an input validation error vulnerability that stems from a segment error that can be used to trigger a denial-of-service attack if non-scalar...

PT-2022-23071

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 issue arises when QuantizedBiasAdd is given min input, max input, min bias, m...

Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

GHSA-54CH-GJQ5-4976 Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

GHSA-PQHM-4WVF-2JG8 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

CVE-2022-29205 Segfault due to missing support for quantized types in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

CVE-2022-29205

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

PT-2022-19457

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 There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1...

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...

GHSA-3MW4-6RJ6-74G5 Null pointer dereference in TensorFlow

Impact The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. python import tensorflow as tf tf.rawops.QuantizedMaxPool input = tf.constant4, dtype=tf.quint8, mininput = , maxinput = 1, ksize = 1, 1, 1, 1,...

PYSEC-2022-118

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow...

CVE-2022-21739

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google Tensorflow is vulnerable to a code issue that stems from an undefined behavior in the QuantizedMaxPool implementation, where user-controlled input can trigger a reference binding to a null...

GHSA-X83M-P7PV-CH8V Division by 0 in `QuantizedAdd`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedAdd: python import tensorflow as tf x = tf.constant68, 228, shape=2, 1, dtype=tf.quint8 y = tf.constant, shape=2, 0, dtype=tf.quint8 minx = tf.constant10.723421015884028 maxx =...

GHSA-P45V-V4PW-77JR Division by 0 in `QuantizedBatchNormWithGlobalNormalization`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization: python import tensorflow as tf t = tf.constant, shape=0, 0, 0, 0, dtype=tf.quint8 tmin = tf.constant-10.0, dtype=tf.float32 tmax = tf.constant-10.0,...

GHSA-4FG4-P75J-W5XJ Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`

Impact An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization: python import tensorflow as tf t = tf.constant1, shape=1, 1, 1, 1, dtype=tf.quint8 tmin = tf.constant, shape=0, dtype=tf.float32 tmax =...

GHSA-M34J-P8RJ-WJXQ Division by 0 in `QuantizedBiasAdd`

Impact An attacker can trigger an integer division by zero undefined behavior in tf.rawops.QuantizedBiasAdd: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 0, 0, dtype=tf.quint8 bias = tf.constant, shape=0, dtype=tf.quint8 mininput = tf.constant-10.0, dtype=tf.float32...

GHSA-8C89-2VWR-CHCQ Heap buffer overflow in `QuantizedResizeBilinear`

Impact An attacker can cause a heap buffer overflow in QuantizedResizeBilinear by passing in invalid thresholds for the quantization: python import tensorflow as tf images = tf.constant, shape=0, dtype=tf.qint32 size = tf.constant, shape=0, dtype=tf.int32 min = tf.constant, dtype=tf.float32 max =...

GHSA-2GFX-95X2-5V3X Heap buffer overflow in `QuantizedReshape`

Impact An attacker can cause a heap buffer overflow in QuantizedReshape by passing in invalid thresholds for the quantization: python import tensorflow as tf tensor = tf.constant, dtype=tf.qint32 shape = tf.constant, dtype=tf.int32 inputmin = tf.constant, dtype=tf.float32 inputmax = tf.constant,...