CVE-2022-35984 `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow

TensorFlow is an open source platform for machine learning. ParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35983 `CHECK` fail in `Save` and `SaveSlices` in TensorFlow

TensorFlow is an open source platform for machine learning. If Save or SaveSlices is run over tensors of an unsupported dtype, 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 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. Th...

CVE-2022-35989 `CHECK` fail in `MaxPool` in TensorFlow

TensorFlow is an open source platform for machine learning. When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, 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 comm...

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-2022-35982

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...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

Impact When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None...

TensorFlow vulnerable to integer overflow in math ops

Impact When RangeSize receives values that do not fit into an int64t, it crashes. cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...

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-2022-35974

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-2022-35968

TensorFlow is an open source platform for machine learning. The implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35964

TensorFlow is an open source platform for machine learning. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a 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. The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which 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. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a 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...