Google TensorFlow 数字错误漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A numeric error vulnerability exists in Google TensorFlow versions prior to 2.7.0, which stems from the implementation of the convolution operator triggering division by 0 when TensorFlow is...

PT-2021-23179 · 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 ParallelConcat in TensorFlow misses some input validation...

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 USA. Google TensorFlow suffers from an input validation error vulnerability that can be exploited by an attacker to cause an abort and denial of service related to a CHECK failure...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google, Inc. A security vulnerability exists in versions prior to Google TensorFlow 2.7.0, which stems from an overflow problem in TensorFlow when calculating the output size in the tf.range kernel. No detail...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A security vulnerability exists in Google TensorFlow where, in the affected version, if tf.summary.createfilewriter is called with a non-scalar parameter, the code crashes...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. A segfault is triggered when invalid arguments are passed as it does not validate for other value but assumes that axis can be either -1 or a value greater than -1...

CVE-2021-37690

TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions such as MutableHashTableShape produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inferenc...

CVE-2021-37669

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.rawops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a...

PYSEC-2021-292

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.rawops.UpperBound. The implementation does not validate the rank of sortedinput...

PYSEC-2021-798

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's GatherNd implementation does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with...

PYSEC-2021-585

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.rawops.SdcaOptimizerV2. The implementation does not check that the length of...

PYSEC-2021-784

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a CHECK-fail in tf.rawops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub...

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 use...

PYSEC-2021-288

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.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...

PYSEC-2021-778

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.UnicodeEncode. The implementation reads the first dimension of the inputsplits tensor before validating that th...

PYSEC-2021-574

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boostedtreescreatequantilestreamresource by using negative arguments. The implementation does not validate that numstreams only contains non-negative numbers. I...

PYSEC-2021-772

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boostedtreescreatequantilestreamresource by using negative arguments. The implementation does not validate that numstreams only contains non-negative numbers. I...

CVE-2021-37636

CVE-2021-37636 concerns TensorFlow with a vulnerability in tf.raw_ops.SparseDenseCwiseDiv where division by zero can occur due to how a shared binary-ops class handles this case. The issue affects affected TensorFlow versions and has been addressed by patching the underlying code in a GitHub comm...

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 stems from the fact that in affected versions, an attacker could exploit the vulnerability by sending an invalid argument to tf.rawops...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. tf.rawops.ResourceGather in versions prior to Google TensorFlow 2.6.0 is vulnerable to a dezero error. An attacker could exploit this vulnerability to cause a denial of service...