| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | ≥ 2.5.0, < 2.5.2≥ 2.6.0, < 2.6.1≥ 2.7.0rc0, < 2.7.0< 2.4.4 | 2.5.22.6.12.7.02.4.4 |
| tensorflow-cpu | ≥ 2.5.0, < 2.5.2≥ 2.6.0, < 2.6.1≥ 2.7.0rc0, < 2.7.0< 2.4.4 | 2.5.22.6.12.7.02.4.4 |
| tensorflow-gpu | ≥ 2.5.0, < 2.5.2≥ 2.6.0, < 2.6.1≥ 2.7.0rc0, < 2.7.0< 2.4.4 | 2.5.22.6.12.7.02.4.4 |
| tensorflow | = 2.7.0≥ 2.4.0, < 2.4.4≥ 2.5.0, < 2.5.2≥ 2.6.0, < 2.6.1 | 2.4.42.5.22.6.1 |
The implementation of ParallelConcat misses some input validation and can produce a division by 0:
import tensorflow as tf
@tf.function
def test():
y = tf.raw_ops.ParallelConcat(values=[['tf']],shape=0)
return y
test()
We have patched the issue in GitHub commit f2c3931113eaafe9ef558faaddd48e00a6606235.
The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.
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