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...

PT-2021-23168 · 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 Keras pooling layers in TensorFlow can trigger a segfault if the size of the...

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...

PT-2021-23185 · 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 code for tf.ragged.cross can trigger a read outside of bound...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. a heap out-of-bounds access vulnerability exists in the SparseFillEmptyRows implementation in versions prior to TensorFlow 2.7.0. No details of the vulnerability are currently available...

PT-2021-23197 · 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 implementation of SparseFillEmptyRows can be made to trigger a heap...

PT-2021-23180 · 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 code for boosted trees in TensorFlow is still missing validation. As a resul...

PT-2021-23201 · 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: TensorFlow's saved model cli tool is vulnerable to a code injection as it calls...

Google TensorFlow 安全漏洞

A security vulnerability in Google TensorFlow, an end-to-end open source platform for machine learning from Google, stems from the use of uninitialized variables in the Grappler optimizer. If the trainnodes vector obtained from the saved optimization model does not contain Dequeue nodes, then...

PT-2021-23176 · 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 issue occurs during TensorFlow's Grappler optimizer phase, where constant...

CVE-2021-41205

creationtimestamp| type| source ---|---|--- 2021-11-04 23:18:26+00:00| published-proof-of-concept| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rx-x2rw-pc6f...

Google TensorFlow suffers from an unspecified vulnerability (CNVD-2022-09854)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a security vulnerability that can be exploited by an attacker to cause a runtime abort process...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2022-09855)

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 inability of the ""tf.rawops.RaggedGather"" parameter in the software to determine a valid ragged tensor code,...

Exploit for Deserialization of Untrusted Data in Google Tensorflow

CVE-2021-37678 Explo...

Security Bulletin: Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D

Summary TensorFlow is vulnerable to a denial of service on IBM Watson Machine Learning on CP4D Vulnerability Details CVEID: CVE-2021-29538 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused by division by zero in Conv2DBackpropFilter. By sending a specially-crafted request, a...

Security Bulletin: Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D

Summary TensorFlow is vulnerable to a denial of service on IBM Watson Machine Learning on CP4D Vulnerability Details CVEID: CVE-2021-29608 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused by a heap out-of-bounds and NULL pointer dereference flaw in "RaggedTensorToTensor". By...

Security Bulletin: Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D

Summary TensorFlow is vulnerable to a denial of service on IBM Watson Machine Learning on CP4D Vulnerability Details CVEID: CVE-2021-29547 DESCRIPTION: TensorFlow is vulnerable to a denial of service, caused by heap out-of-bounds in QuantizedBatchNormWithGlobalNormalization. By sending a...

Google TensorFlow code issue vulnerability (CNVD-2022-09856)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a code issue vulnerability that stems from the fact that when recovering a tensor via the raw API, TensorFlow may be tricked into referencing a null pointer if the...

Google TensorFlow code issue vulnerability (CNVD-2022-09857)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow is vulnerable to a code issue that arises from the fact that if the user does not provide a valid padding value for "tf.rawops.MatrixDiagPartOp", the code triggers a null point...

Heap out of bounds access in sparse reduction operations

Impact The implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data: python import tensorflow as tf x = tf.SparseTensor indices=773, 773, 773, 773, 773, 773, values=1, 1, denseshape=337, 337, 337 tf.sparse.reducesumx, 1 The...