Improper resource allocation - Buffer overflow In tensorflow-gpu
Description
Heap overflow in Tensorflow
Impact
The implementation of SparseCountSparseOutput is vulnerable to a heap overflow:
import tensorflow as tf import numpy as np tf.raw_ops.SparseCountSparseOutput( indices=[[-1,-1]], values=[2], dense_shape=[1, 1], weights=[1],...
Patches
We have patched the issue in GitHub commits 2b7100d6cdff36aa21010a82269bc05a6d1cc74a and adbbabdb0d3abb3cdeac69e38a96de1d678b24b3.
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