CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for "tf.rawops.Dequantize" has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference "implementation"...

PYSEC-2021-297

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

PYSEC-2021-786

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

PYSEC-2021-787

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...

PYSEC-2021-786

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

PYSEC-2021-588

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

PYSEC-2021-297

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

Design/Logic Flaw

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

CVE-2021-37675

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

Null pointer dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...

CVE-2021-37676 Reference binding to nullptr in shape inference in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...

CVE-2021-37676

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...

CVE-2021-37676

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in "tf.rawops.SparseFillEmptyRows". The shape inference "implementation"...

CVE-2021-37675: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...

CVE-2021-37677: Improper Input Validation

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

Google TensorFlow资源管理错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A denial of service vulnerability exists in the Google TensorFlow shape inference function. A local attacker can exploit this vulnerability to cause a denial of service condition...

CVE-2021-37676: Access of Uninitialized Pointer

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...

PT-2021-21793 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow version 2.5.1 TensorFlow version 2.4.3 TensorFlow version 2.3.4 Description: The issue is related to a division by 0 vulnerability in most implementations of convolution operators in TensorFlow,...

PT-2021-21795 · 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: The shape inference code for tf.raw ops.Dequantize has a vulnerability that coul...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...