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An improper check for unusual conditions in Zyxel NWA110AX firmware verisons prior to 6.50(ABTG.0)C0, which could allow a LAN attacker to cause a temporary denial-of-service (DoS) by sending crafted VLAN frames if the MAC address of the vulnerable AP were intercepted by the attacker.
"IBM WebSphere Application Server 7.0, 8.0, 8.5, and 9.0 Web services could allow a man-in-the-middle attacker to conduct SOAPAction spoofing to execute unwanted or unauthorized operations. IBM X-Force ID: 234762."
The web interface of Gira Giersiepen Gira KNX/IP-Router 3.1.3683.0 and 3.3.8.0 responds with a "404 - Not Found" status code if a path is accessed that does not exist. However, the value of the path is reflected in the response. As the application will reflect the supplied path without context-sensitive HTML encoding, it is vulnerable to reflective cross-site scripting (XSS).
A potential unathenticated file deletion vulnerabilty on Trend Micro Mobile Security for Enterprise 9.8 SP5 could allow an attacker with access to the Management Server to delete files. This issue was resolved in 9.8 SP5 Critical Patch 2.
Brocade Fabric OS versions before Brocade Fabric OS v9.1.1c, and v9.2.0 Could allow an authenticated, local user with knowledge of full path names inside Brocade Fabric OS to execute any command regardless of assigned privilege. Starting with Fabric OS v9.1.0, “root” account access is disabled.
A reflected cross-site scripting (XSS) vulnerability exists in Brocade Webtools PortSetting.html of Brocade Fabric OS version before Brocade Fabric OS v9.2.0 that could allow a remote unauthenticated attacker to execute arbitrary JavaScript code in a target user’s session with the Brocade Webtools application.
### Impact If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf depth_radius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 input_grads = tf.random.uniform(shape=[4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) input_image = tf.random.uniform(shape=[4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) output_image = tf.random.uniform(shape=[4, 4, 4, 4, 4, 4], minval=-10000, maxval=10000, dtype=tf.float32, seed=-2033) tf.raw_ops.LRNGrad(input_grads=input_grads, input_image=input_image, output_image=output_image, depth_radius=depth_radius, bias=bias, alpha=alpha, beta=beta) ``` ### Patches We have patched the issue in GitHub commit [bd90b3efab4ec958b228cd7cfe9125be1c0cf255](https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255). The fix will be included in Tenso...
Check Point Security Gateway suffers from an information disclosure vulnerability. Versions affected include R77.20 (EOL), R77.30 (EOL), R80.10 (EOL), R80.20 (EOL), R80.20.x, R80.20SP (EOL), R80.30 (EOL), R80.30SP (EOL), R80.40 (EOL), R81, R81.10, R81.10.x, and R81.20.
### Impact When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_2=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_3=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_4=8 arg_5=False arg_6=None tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(gradients=arg_0, inputs=arg_1, min=arg_2, max=arg_3, num_bits=arg_4, narrow_range=arg_5, name=arg_6) ``` ### Patches We have patched the issue in GitHub commit [f3cf67ac5705f4f04721d15e485e192bb319feed](https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed). The fix will be included in TensorFlow 2.10.0. We will also cherrypic...
### Impact When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None) arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_3='' tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, element_shape=arg_2, name=arg_3) ``` ### Patches We have patched the issue in GitHub commit [bb03fdf4aae944ab2e4b35c7daa051068a8b7f61](https://github.com/tensorflow/tensorflow/commit/bb03fdf4aae944ab2e4b35c7daa051068a8b7f61). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https...