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-2022-35972

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 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 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-2022-35973

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-2022-35973

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-2022-35973 Segfault in `QuantizedMatMul` in TensorFlow

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-2022-35973 Segfault in `QuantizedMatMul` in TensorFlow

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-2022-35973 Segfault in `QuantizedMatMul` in TensorFlow

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...

TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...

GHSA-F4W6-H4F5-WX45 TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...

TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...

GHSA-97P7-W86H-VCF9 TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...

CVE-2022-35971

CVE-2022-35971 affects TensorFlow: a denial-of-service risk when FakeQuantWithMinMaxVars receives min/max tensors of nonzero rank, causing a CHECK failure. Root cause: input validation in FakeQuantWithMinMaxVars leads to DoS. Known impact: remote attacker could trigger DoS via this path; exploita...

CVE-2022-35971 `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow

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-2022-35971 `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow

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-2022-35971 `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow

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-2022-35971

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-2022-35969 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

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...

CVE-2022-35969 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

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...