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google tensorflow 2.10.0 vulnerabilities and exploits
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NA
CVE-2022-35970
TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` 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 785d67a78a1d53...
Google Tensorflow
Google Tensorflow 2.10
NA
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 2a458fc4866505be...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35965
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` 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 Gi...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35966
TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` 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 7cdf9d4d208...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35967
TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` 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 49b3824d83af706...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35968
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub com...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35969
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` 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 c...
Google Tensorflow
Google Tensorflow 2.10
NA
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 785d67a78a1d...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35972
TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` 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 Git...
Google Tensorflow
Google Tensorflow 2.10
NA
CVE-2022-35973
TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693...
Google Tensorflow
Google Tensorflow 2.10
CVSSv2
CVSSv2
CVSSv3
VMScore
Recommendations:
NULL pointer dereference
CVE-2023-52689
CVE-2024-23803
client side
CVE-2023-52696
information disclosure
CVE-2024-35843
CVE-2024-27130
CVE-2023-52697
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