| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | ≥ 2.6.0, < 2.6.3≥ 2.7.0, < 2.7.1< 2.5.3 | 2.6.32.7.12.5.3 |
| tensorflow-cpu | ≥ 2.6.0, < 2.6.3≥ 2.7.0, < 2.7.1< 2.5.3 | 2.6.32.7.12.5.3 |
| tensorflow-gpu | ≥ 2.6.0, < 2.6.3≥ 2.7.0, < 2.7.1< 2.5.3 | 2.6.32.7.12.5.3 |
| tensorflow | = 2.7.0≥ 2.6.0, ≤ 2.6.2≤ 2.5.2 |
The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation:
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseCountSparseOutput(
indices=[[1,1]],
values=[2],
dense_shape=[2 ** 31, 2 ** 32],
weights=[1],
binary_output=True,
minlength=-1,
maxlength=-1,
name=None)
We have patched the issue in GitHub commit 6f4d3e8139ec724dbbcb40505891c81dd1052c4a.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.
Running one of these products? Scan your site to see whether it exposes a vulnerable version.
Scan my site free