Non-encrypted confidential information In tensorflow
Description
Division by zero in Tensorflow
Impact
The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0:
import tensorflow as tf import numpy as np tf.raw_ops.FractionalMaxPool( value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64), pooling_ratio=[1.0, 1.44, 1.73, 1.0], pseudo_random=False, overlapping=False,...
Patches
We have patched the issue in GitHub commit ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
For more information
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Attribution
This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
 pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 |
Aliases
References