QID 980164
QID 980164: Python (pip) Security Update for tensorflow-gpu (GHSA-2p25-55c9-h58q)
Security update has been released for tensorflow-gpu,tensorflow,tensorflow-cpu to fix the vulnerability.
Note: The preceding description block is extracted directly from the security advisory. Using automation, we have attempted to clean and format it as much as possible without introducing additional issues.
If `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow.
```python
import tensorflow as tf
import numpy as np
tf.keras.backend.tile(x=np.ones((1,1,1)), n=[100000000,100000000, 100000000])
```
The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process.
Solution
We have patched the issue in GitHub commit [9294094df6fea79271778eb7e7ae1bad8b5ef98f](https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f) (merging [#51138](https://github.com/tensorflow/tensorflow/pull/51138)).
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.
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.
Vendor References
- GHSA-2p25-55c9-h58q -
github.com/advisories/GHSA-2p25-55c9-h58q
CVEs related to QID 980164
Software Advisories
| Advisory ID | Software | Component | Link |
|---|---|---|---|
| GHSA-2p25-55c9-h58q | tensorflow |
|
|
| GHSA-2p25-55c9-h58q | tensorflow-cpu |
|
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| GHSA-2p25-55c9-h58q | tensorflow-gpu |
|