PYSEC-2021-747

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseDenseCwiseDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case...

CVE-2021-37640

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...

PYSEC-2021-751

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...

CVE-2021-37647

TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.rawops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails...

CVE-2021-37640

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but...

PT-2021-21751 · 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 implementation of tf.raw ops.SparseDenseCwiseDiv is vulnerable to a division...

PT-2021-21762 · 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 arises when a user does not supply arguments that determine a valid sparse tensor, causing the tf.raw...

PT-2021-21750 · 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 implementation of sparse reduction operations in TensorFlow can trigger...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to security flaws that could be exploited by attackers by sending specially crafted illegal parameters to "BoostedTreesSparseCalculateBestFeatureSplit" by sending specially crafted illegal...

Google TensorFlow缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. an information disclosure vulnerability exists in Google TensorFlow TensorFlow sparse reduction. An attacker could exploit this vulnerability to read data from outside the boundaries of the heap allocation data or cause a...

GHSA-WVJW-P9F5-VQ28 Segfault in `tf.raw_ops.SparseCountSparseOutput`

Impact Passing invalid arguments e.g., discovered via fuzzing to tf.rawops.SparseCountSparseOutput results in segfault. Patches We have patched the issue in GitHub commit 82e6203221865de4008445b13c69b6826d2b28d9. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on...

GHSA-9RPC-5V9Q-5R7F Incomplete validation in `SparseReshape`

Impact Incomplete validation in SparseReshape results in a denial of service based on a CHECK-failure. python import tensorflow as tf inputindices = tf.constant41, shape=1, 1, dtype=tf.int64 inputshape = tf.zeros11, dtype=tf.int64 newshape = tf.zeros1, dtype=tf.int64...

GHSA-XVJM-FVXX-Q3HV CHECK-fail due to integer overflow

Impact An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape: python import tensorflow as tf inputlayer = 260-1 sparsedata = tf.rawops.SparseSplit splitdim=1, indices=0, 0, 0, 1, 0, 2, 4, 3, 5, 0, 5, 1, values=1.0, 1.0, 1....

GHSA-WP3C-XW9G-GPCG Lack of validation in `SparseDenseCwiseMul`

Impact Due to lack of validation in tf.rawops.SparseDenseCwiseMul, an attacker can trigger denial of service via CHECK-fails or accesses to outside the bounds of heap allocated data: python import tensorflow as tf indices = tf.constant, shape=10, 0, dtype=tf.int64 values = tf.constant, shape=0,...

GHSA-59Q2-X2QC-4C97 Heap OOB access in unicode ops

Impact An attacker can access data outside of bounds of heap allocated array in tf.rawops.UnicodeEncode: python import tensorflow as tf inputvalues = tf.constant58, shape=1, dtype=tf.int32 inputsplits = tf.constant81, 101, 0, shape=3, dtype=tf.int32 outputencoding = "UTF-8" tf.rawops.UnicodeEncod...

GHSA-MQH2-9WRP-VX84 Heap buffer overflow in `SparseSplit`

Impact An attacker can cause a heap buffer overflow in tf.rawops.SparseSplit: python import tensorflow as tf shapedims = tf.constant0, dtype=tf.int64 indices = tf.ones1, 1, dtype=tf.int64 values = tf.ones1, dtype=tf.int64 shape = tf.ones1, dtype=tf.int64 tf.rawops.SparseSplit splitdim=shapedims,...

GHSA-XW93-V57J-FCGH Division by 0 in `SparseMatMul`

Impact An attacker can cause a denial of service via a FPE runtime error in tf.rawops.SparseMatMul: python import tensorflow as tf a = tf.constant100.0, 100.0, 100.0, 100.0, shape=2, 2, dtype=tf.float32 b = tf.constant, shape=0, 2, dtype=tf.float32 tf.rawops.SparseMatMul a=a, b=b, transposea=True...

GHSA-HMG3-C7XJ-6QWM Heap buffer overflow in `SparseTensorToCSRSparseMatrix`

Impact An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices: python import tensorflow as tf import numpy as np from tensorflow.python.ops.linalg.sparse import sparsecsrmatrixops indicesarray = np.array0, 0 valuearray = np.array0.0,...

GHSA-J47F-4232-HVV8 Heap out of bounds read in `RaggedCross`

Impact An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross: python import tensorflow as tf raggedvalues = raggedrowsplits = sparseindices = sparsevalues = sparseshape = denseinputselem = tf.constant, shape=92, 0,...

GHSA-XCWJ-WFCM-M23C Invalid validation in `SparseMatrixSparseCholesky`

Impact An attacker can trigger a null pointer dereference by providing an invalid permutation to tf.rawops.SparseMatrixSparseCholesky: python import tensorflow as tf import numpy as np from tensorflow.python.ops.linalg.sparse import sparsecsrmatrixops indicesarray = np.array0, 0 valuearray =...