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IBM Db2 11.5 could allow a local user with special privileges to cause a denial of service during database deactivation on DPF. IBM X-Force ID: 261607.

IBM Security Guardium 11.4 could allow a privileged user to obtain sensitive information inside of an HTTP response. IBM X-Force ID: 235405.

Red Hat Security Advisory 2023-0101-01 - The kernel packages contain the Linux kernel, the core of any Linux operating system.

A buffer overflow vulnerability in “secpolicydelete” command in Brocade Fabric OS before Brocade Fabric OS v9.1.1c and v9.2.0 could allow an authenticated privileged user to crash the Brocade Fabric OS switch leading to a denial of service.

Through manipulation of passwords or other variables, using commands such as portcfgupload, configupload, license, myid, a non-privileged user could obtain root privileges in Brocade Fabric OS versions before Brocade Fabric OS v9.1.1c and v9.2.0.

A buffer overflow vulnerability in “diagstatus” command in Brocade Fabric OS before Brocade Fabric v9.2.0 and v9.1.1c could allow an authenticated user to crash the Brocade Fabric OS switch leading to a denial of service.

Anyone can get a blue tick on Twitter without proving who they are. And it’s already causing a ton of problems.

### Impact Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in [`SdcaOptimizer`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.cc). ```python import tensorflow as tf tf.raw_ops.SdcaOptimizer( sparse_example_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)], sparse_feature_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)], sparse_feature_values=8 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)], dense_features=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100)], example_weights=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100), example_labels=tf.random.uniform([5,5,5,3], dtype=tf.dtypes.float32, maxval=100), sparse_indices=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.int64, maxval=100)], sparse_weights=4 * [tf.random.uniform([5,5,5,3], dtype=tf.dtypes.f...

When connecting to Amazon Workspaces, the SHA256 presented by AWS connection provisioner is not fully verified by Zero Clients. The issue could be exploited by an adversary that places a MITM (Man in the Middle) between a zero client and AWS session provisioner in the network. This issue is only applicable when connecting to an Amazon Workspace from a PCoIP Zero Client.

### Impact `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf binary_output = True input = tf.random.uniform(shape=[0, 0], minval=-10000, maxval=10000, dtype=tf.int32, seed=-2460) size = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int32, seed=-10000) weights = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.float32, seed=-10000) tf.raw_ops.DenseBincount(input=input, size=size, weights=weights, binary_output=binary_output) ``` ### Patches We have patched the issue in GitHub commit [bf4c14353c2328636a18bfad1e151052c81d5f43](https://github.com/tensorflow/tensorflow/commit/bf4c14353c2328636a18bfad1e151052c81d5f43). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2...