PT-2021-18311 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: An attacker can cause a heap buffer overfl...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Google TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4, which stems from a lack of validation in tf.rawops.RaggedTensorToTensor, and can be exploited by an...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in the convolutional code in Google TensorFlow. No details of the vulnerability are provided at this time...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from an unspecified vulnerability that stems from passing invalid parameters to tf.rawops.SparseCountSparseOutput.No details of the vulnerability are provided at this...

Google TensorFlow缓冲区错误漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a security vulnerability that can be exploited by an attacker to trigger a heap buffer overflow in tf.rawops.BandedTriangularSolve...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2021-00091)

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 DataFormatVecPermute API not validating the src format and dst format attributes. An attacker could exploit the...

Google TensorFlow Denial of Service Vulnerability (CNVD-2021-00093)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a denial-of-service vulnerability that stems from the LSTM GRU layer receiving a zero-length input when using a CUDA backend, which results in a check failure. An...

CVE-2020-26270

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...

Unspecified Vulnerability in Google Tensorflow (CNVD-2020-57075)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow versions prior to 2.2.1, 2.3.1, which can be exploited by an attacker to cause memory leakage issues...

Information Disclosure

tensorflow is vulnerable to information disclosure. The vulnerability exists due to the lack of validation of the datasplits argument in tf.rawops.StringNGrams, resulting in a memory leak...

Arbitrary Code Execution

tensorflow is vulnerable to arbitrary code execution. The vulnerability exists through a memory corruption issue in the implementation of dlpack.todlpack, as the pybind11 does not restrict Python objects to be parsed and casted...

Tensorflow Data Validation Vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow version 2.3.0 that stems from the inability of the SparseCountSparseOutput and RaggedCountSparseOutput implementations to verify that the weights...

PYSEC-2020-114

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to dlpack.todlpack the expected validations will cause variables to bind to nullptr while setting a status variable to the error condition. However, this status argument is not properly checked. Hence, code...

PYSEC-2020-274

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

PYSEC-2020-121

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...

PYSEC-2020-126

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed. This may result in segmentati...

GHSA-X7RP-74X2-MJF3 Segfault in Tensorflow

Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...

GHSA-PG59-2F92-5CPH Heap buffer overflow in Tensorflow

Impact The SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified:...

PYSEC-2020-304

TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decodebmpop.cc...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS. The vulnerability exists due to the lack of checks during conversion of a string in eager mode from Python to a tf.float16 value...