CVE-2022-35989

CVE-2022-35989 affects TensorFlow, where MaxPool on GPU can trigger a denial of service when a ksize window is larger than the input tensor. Root cause: a GPU kernel CHECK failure in MaxPool. Mitigation/fix: patch committed (32d7bd3defd134f21a4e344c8dfd40099aaf6b18); fix to be included in TensorF...

CVE-2022-35988 `CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow

TensorFlow is an open source platform for machine learning. When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix...

CVE-2022-35988

TensorFlow CVE-2022-35988 is a denial-of-service issue triggered when tf.linalg.matrix_rank receives an empty input; the GPU kernel can fail with a CHECK error. A patch was committed (c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a) and the fix is slated for TensorFlow 2.10.0, with cherry-picks to 2.9.1...

CVE-2022-35982

TensorFlow CVE-2022-35982 describes a segfault in SparseBincount when inputs do not form a valid sparse tensor, potentially enabling a denial of service. A patch was applied in commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa, with the fix scheduled for TensorFlow 2.10.0 and cherry-picked for Tens...

CVE-2022-35982 Segfault in `SparseBincount` in TensorFlow

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...

CVE-2022-35981 `CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

CVE-2022-35971

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35965

TensorFlow is an open source platform for machine learning. If LowerBound or UpperBound is given an emptysortedinputs input, it results in a nullptr dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

Stack overflow

TensorFlow is an open source platform for machine learning. If QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89...

Stack overflow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

Stack overflow

TensorFlow is an open source platform for machine learning. If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

Stack overflow

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: mina, maxa, minb, or maxb It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. T...

CVE-2022-35979

CVE-2022-35979 affects TensorFlow. When QuantizedRelu or QuantizedRelu6 receive nonscalar inputs for min_features or max_features, a segfault can be triggered, leading to a denial of service. A fix was committed (49b3824d83af706df0ad07e4e677d88659756d89) and will be included in TensorFlow 2.10.0....

CVE-2022-35979 Segfault in `QuantizedRelu` and `QuantizedRelu6`

TensorFlow is an open source platform for machine learning. If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35974

Summary: CVE-2022-35974 affects TensorFlow via QuantizeDownAndShrinkRange when given nonscalar input_min/input_max, causing a segfault and a potential denial of service. The issue has been patched in commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 and the fix will be included in TensorFlow 2.10.0...

CVE-2022-35974 Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35972 Segfault in `QuantizedBiasAdd` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35972

TensorFlow CVE-2022-35972 concerns a segfault in QuantizedBiasAdd when given min_input, max_input, min_bias, max_bias with a nonzero rank, leading to a denial of service. A patch was applied in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0, with the fix slated for TensorFlow 2.10.0. The ...

CVE-2022-35973

CVE-2022-35973 affects TensorFlow and is caused when QuantizedMatMul receives nonscalar inputs for min_a, max_a, min_b, or max_b, leading to a segfault that can trigger a denial of service. The fix was implemented in a GitHub commit (aca766ac7693bf29ed0df55ad6bfcc78f35e7f48) and will be included ...

CVE-2022-35969

TensorFlow CVE-2022-35969 stems from Conv2DBackpropInput requiring input_sizes to be 4-dimensional; non-conforming input can trigger a CHECK failure that allows denial of service. A fix was committed (50156d547b9a1da0144d7babe665cf690305b33c) and will be included in TensorFlow 2.10.0, with cherry...