PYSEC-2021-763

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource an...

PYSEC-2021-768

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 all operations of type tf.rawops.MatrixDiagV. The implementation has incomplete validation that the value of k is a valid...

GHSA-97WF-P777-86JQ Division by zero in TFLite's implementation of Split

Impact The implementation of the Split TFLite operator is vulnerable to a division by zero error: cc TFLITEENSUREMSGcontext, inputsize % numsplits == 0, "Not an even split"; const int slicesize = inputsize / numsplits; An attacker can craft a model such that numsplits would be 0. Patches We have...

PYSEC-2021-444

TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant...

PYSEC-2021-218

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.CTCBeamSearchDecoder, an attacker can trigger denial of service via segmentation faults. The...

PYSEC-2021-220

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The...

PYSEC-2021-711

TensorFlow is an end-to-end open source platform for machine learning. The TFLite computation for size of output after padding, ComputeOutSizehttps://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.hL43-L55, does not check that the...

PYSEC-2021-187

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

PYSEC-2021-651

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropInput. This is because the...

PYSEC-2021-512

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape. This is because the...

PYSEC-2021-719

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the BatchToSpaceNd TFLite operator is vulnerable to a division by zero...

CVE-2021-29520

TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to tf.rawops.Conv3DBackprop operations can result in heap buffer overflows. This is because the...

CVE-2021-29602

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero...

CVE-2021-29608

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The...

PT-2021-18348 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4 are also affected Description: The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.QuantizedConv2D implementation in TensorFlow versions prior to 2.5.0. No detailed vulnerability details 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. A security vulnerability exists in Google TensorFlow 2.4.2, 2.3.3, 2.2.3, 2.1.4, which stems from the absence of loops between nodes of a TFlite graph. No detailed vulnerability details are...

CVE-2020-15199

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data...

CVE-2020-15197

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

PYSEC-2020-309

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...