7 matches found
GHSA-7GHQ-FVR3-PJ2X Incomplete validation in `MaxPoolGrad`
Impact An attacker can trigger a denial of service via a segmentation fault in tf.rawops.MaxPoolGrad caused by missing validation: python import tensorflow as tf tf.rawops.MaxPoolGrad originput = tf.constant, shape=3, 0, 0, 2, dtype=tf.float32, origoutput = tf.constant, shape=3, 0, 0, 2,...
CVE-2021-37674
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.rawops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the originput and origoutput tensor...
PYSEC-2021-699
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax is vulnerable to a division by 0. The...
PYSEC-2021-206
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The...
CVE-2021-29570
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The...
CVE-2021-29580
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts...