EUVD-2021-0291

Malware in sbrugna...

BIT-TENSORFLOW-2021-29550 Division by 0 in `FractionalAvgPool`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

SUSE CVE-2021-29550

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess

Impact An input poolingratio that is smaller than 1 will trigger a heap OOB in tf.rawops.FractionalMaxPool and tf.rawops.FractionalAvgPool. Patches We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cher...

Division by 0 in `FractionalAvgPool`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool: python import tensorflow as tf value = tf.constant60, shape=1, 1, 1, 1, dtype=tf.int32 poolingratio = 1.0, 1.0000014345305555, 1.0, 1.0 pseudorandom = False overlapping = False...

CVE-2021-29550

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool. This is because the...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A security vulnerability exists in the tf.rawops.FractionalAvgPool implementation in Google TensorFlow. An attacker can exploit the vulnerability to cause a denial of service...

PT-2021-18301 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: An attacker can cause a runtime division by zero error and denial of service in tf.raw...