CVE-2022-35970

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax 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 785d67a78a1d533759fcd2f5e8d6ef778de849e...

SUSE CVE-2022-35970

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax 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 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35970

CVE-2022-35970 affects TensorFlow’s QuantizedInstanceNorm. When x_min or x_max are tensors of a nonzero rank, a segfault occurs, enabling a denial of service as described in the entry. The issue is fixed in the GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0 and the fix is to be included i...

CVE-2022-35970 Segfault in `QuantizedInstanceNorm` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax 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 785d67a78a1d533759fcd2f5e8d6ef778de849e...