GHSA-FFJM-4QWC-7CMF TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

Impact The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. Patches We have patched the issue in GitHub commit...

GHSA-PXRW-J2FV-HX3H TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite

Impact The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. Patches We have patched the issue in GitHub commit...

TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite

Impact The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. Patches 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-2022-35972

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

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

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 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...