CVE-2022-41901

TensorFlow is an open source platform for machine learning. An input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in...

PT-2022-26133

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow version 2.10.1 TensorFlow version 2.9.3 TensorFlow version 2.8.4 Description TensorFlow is an open source platform for machine learning. An input sparse matrix that is not a matrix with a shape with...

CVE-2022-35997

TensorFlow is an open source platform for machine learning. If tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 83dcb4dbfa094e33db084e97c4d0531a559e0ebf. The f...

CVE-2022-35982

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

GHSA-P7HR-F446-X6QF TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`

Impact If tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf tf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string Patches We have patched the issue ...

PT-2022-23095

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when the tf.sparse.cross function receives an input separator th...

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, which stems from the fact that if tf.sparse.cross receives an input separator that is not a scalar, it fails with an...

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 Inc. in the United States. Google TensorFlow suffers from an input validation error vulnerability that stems from a segmentation error that can be used to trigger a denial-of-service attack if inputs...

GHSA-RC9W-5C64-9VQQ Missing validation results in undefined behavior in `SparseTensorDenseAdd

Impact The implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf aindices = tf.constant0, shape=17, 2, dtype=tf.int64 avalues = tf.constant, shape=0, dtype=tf.float32 ashape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

GHSA-MG66-QVC5-RM93 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf indices = tf.constant53, shape=3, dtype=tf.int64 values =...

CVE-2022-29206

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments. In this case, a reference gets bound to a nullptr during kernel execution. This is...

CVE-2022-29198

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service...

Google TensorFlow代码问题漏洞

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to a code issue in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from tf.rawops. SparseTensorDenseAdd has incomplete validation for the input parameters. No detailed...

SUSE-RU-2022:1384-1 Recommended update for Salt

This update fixes the following issues: salt: - Clear network interfaces cache on grains request bsc1196050 - Handle old qemu-img not supporting -U parameter bsc1195221 - Restrict 'state.orchestratesingle' to pass a pillar value if it exists bsc1194632 - Fix sparse disk errors on Python 2 virt...

GHSA-GV26-JPJ9-C8GQ Incomplete validation in `SparseSparseMinimum`

Impact Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data: python import tensorflow as tf aindices = tf.ones45, 92, dtype=tf.int64 avalues = tf.ones45, dtype=tf.int64...

GHSA-4HVF-HXVG-F67V Read and Write outside of bounds in TensorFlow

Impact An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. Patches We have patched the issue in GitHub commit 6364463d6f5b6254cac3d6aedf999b6a96225038...

GHSA-44QP-9WWF-734R Heap overflow in Tensorflow

Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None Patches We have...

GHSA-X4QX-4FJV-HMW6 Integer overflow leading to crash in Tensorflow

Impact The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=1,1, values=2, denseshape=2 31, 2 32,...

GHSA-PFJJ-M3JJ-9JC9 Undefined behavior in `SparseTensorSliceDataset`

Impact The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value: python import tensorflow as tf import numpy as np tf.rawops.SparseTensorSliceDataset indices=, values=, denseshape=1,1 The 3 input arguments...

GHSA-RRX2-R989-2C43 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...