SUSE CVE-2022-36000

TensorFlow is an open source platform for machine learning. When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. The fix will be included in...

Security Bulletin: IBM Watson Discovery Cartridge for IBM Cloud Pak for Data affected by vulnerability in TensorFlow

Summary IBM Watson Discovery Cartridge for IBM Cloud Pak for Data contains a vulnerable version of TensorFlow. Vulnerability Details CVEID:CVE-2022-41910 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused by a heap-based buffer overflow in the MakeGrapplerFunctionItem function i...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. An attacker is able to cause denial of service conditions via providing an input token that is not a UTF-8 bytestring to tf.rawops.PyFunc, which may trigger a CHECK fail...

GHSA-MV77-9G28-CWG3 `CHECK` fail via inputs in `PyFunc`

Impact An input token that is not a UTF-8 bytestring will trigger a CHECK fail in tf.rawops.PyFunc. python import tensorflow as tf value = tf.constantvalue=1,2 token = b'\xb0' dataType = tf.int32 tf.rawops.PyFuncinput=value,token=token,Tout=dataType Patches We have patched the issue in GitHub...

AZL-11531 CVE-2022-41893 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56...

AZL-11525 CVE-2022-41884 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be...

Google TensorFlow 代码问题漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A code issue vulnerability exists in Google TensorFlow, which stems from a logical error in the organization of data, where the conversion from char to bool is undefined if the const char array is not 0...

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...

Google TensorFlow 代码问题漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a buffer overflow vulnerability that stems from the lack of proper validation of user-supplied data by Bcast::ToShape, which can be exploited by an attacker to cau...

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 buffer overflow vulnerability exists in Google TensorFlow, which originates from the "MirrorPadGrad" input "paddings" is too large, an attacker can use this vulnerability to cause a heap memory...

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 that causes FractionalMaxAVG Pool to have an illegal poolingratio. attackers using Tensorflow can exploit this vulnerability. They can access heap...

PT-2022-26112

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow versions 2.10.1, 2.9.3, and 2.8.4 Description The issue occurs when the BaseCandidateSamplerOp function receives a value in true classes larger than range max, resulting in a heap out-of-bounds read...

AZL-38185 CVE-2022-42915 affecting package tensorflow for versions less than 2.16.1-1

curl before 7.86.0 has a double free. If curl is told to use an HTTP proxy for a transfer with a non-HTTPS URL, it sets up the connection to the remote server by issuing a CONNECT request to the proxy, and then tunnels the rest of the protocol through. An HTTP proxy might refuse this request HTTP...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists because the library does not properly validate the quantize ops inputs, allowing an attacker to crash the application through the segmentation fault by passing a nonzero rank when QuantizedInstanceNorm is given xmin or xmax...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in tensorslicewriter.cc and its respective header file because the dtypes are not properly checked when running Save and SaveSlices which allows an attacker to send unsupported dtypes causing an application crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A malicious user is able to cause a null dereference by providing empty function attributes to the mlir::tfg::ConvertGenericFunctionToFunctionDef function, causing the application to crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to the check failure in the randomop.cc and randompoissonop.cc, allowing an attacker to crash the application by providing a large input shapes and rates...

CVE-2022-36017 Segfault in `Requantize` in TensorFlow

TensorFlow is an open source platform for machine learning. If Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36011

TensorFlow is an open source platform for machine learning. When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b. The fix will be included in...

GHSA-9VQJ-64PV-W55C TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Impact When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrixranka=a Patches We have patched the issue in GitHub...