CVE-2022-35969

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...

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BIT-TENSORFLOW-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...

BIT-TENSORFLOW-2022-35999 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...

SUSE CVE-2021-29525

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropInput. This is because the...

SUSE CVE-2022-35969

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...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in the multiple functions in convgradinputops.cc due to check fail in Conv2DBackpropInput which allows an attacker to cause an application crash by providing malicious input...

TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

Impact 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: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" usecudnnongpu = True explicitpaddings =...

CVE-2022-35999 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...

CVE-2022-35999

TensorFlow CVE-2022-35999 affects Conv2DBackpropInput: when out_backprop is empty (example [3,1,0,1]), CPU/GPU kernels fail CHECKs, enabling potential denial of service. A patch was committed (27a65a43cf763897fecfa5cdb5cc653fc5dd0346) and will be included in TensorFlow 2.10.0; the patch will also...

CVE-2022-35999

TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...

CVE-2022-35999 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

TensorFlow is an open source platform for machine learning. When Conv2DBackpropInput receives empty outbackprop inputs e.g. 3, 1, 0, 1, the current CPU/GPU kernels CHECK fail one with dnnl, the other with cudnn. This can be used to trigger a denial of service attack. We have patched the issue in...

CVE-2022-35969

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 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...

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...

CVE-2022-35969

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...