TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

An issue was discovered in the Oauth extension for MediaWiki through 1.35.2. MWOAuthConsumerSubmitControl.php does not ensure that the length of an RSA key will fit in a MySQL blob.

NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. vGPU version 12.x (prior to 12.2), version 11.x (prior to 11.4) and version 8.x (prior to 8.7)

NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and Virtual GPU manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. This affects vGPU version 12.x (prior to 12.2), version 11.x (prior to 11.4) and version 8.x (prior 8.7).

NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and Virtual GPU Manager (vGPU plugin), in which an input length is not validated, which may lead to information disclosure, tampering of data, or denial of service. This affects vGPU version 12.x (prior to 12.2) and version 11.x (prior to 11.4).

NVIDIA vGPU software contains a vulnerability in the guest kernel mode driver and vGPU plugin, in which an input data size is not validated, which may lead to tampering of data or denial of service. This affects vGPU version 8.x (prior to 8.6) and version 11.0 (prior to 11.3).

NVIDIA vGPU manager contains a vulnerability in the vGPU plugin, in which an input data length is not validated, which may lead to tampering of data or denial of service. This affects vGPU version 8.x (prior to 8.6) and version 11.0 (prior to 11.3).

In Eclipse Hono version 1.3.0 and 1.4.0 the AMQP protocol adapter does not verify the size of AMQP messages received from devices. In particular, a device may send messages that are bigger than the max-message-size that the protocol adapter has indicated during link establishment. While the AMQP 1.0 protocol explicitly disallows a peer to send such messages, a hand crafted AMQP 1.0 client could exploit this behavior in order to send a message of unlimited size to the adapter, eventually causing the adapter to fail with an out of memory exception.