Lack of data validation In tensorflow-cpu
Description
Denial of service in tf.ragged.constant due to lack of validation
Impact
The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:
import tensorflow as tf tf.ragged.constant(pylist=[],ragged_rank=8968073515812833920)
Patches
We have patched the issue in GitHub commit bd4d5583ff9c8df26d47a23e508208844297310e.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
For more information
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Attribution
This vulnerability has been reported externally via a GitHub issue.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
 pypi | 2.6.4, 2.7.2, 2.8.1 | ||
pypi | 2.6.4, 2.7.2, 2.8.1 | ||
pypi | 2.6.4, 2.7.2, 2.8.1 |
Aliases
References