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.

  • CVSS V3 rated as Medium - 5.5 severity.
  • CVSS V2 rated as Low - 2.1 severity.
  • 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.
    Vendor References

    CVEs related to QID 980164

    Software Advisories
    Advisory ID Software Component Link
    GHSA-2p25-55c9-h58q tensorflow URL Logo github.com/advisories/GHSA-2p25-55c9-h58q
    GHSA-2p25-55c9-h58q tensorflow-cpu URL Logo github.com/advisories/GHSA-2p25-55c9-h58q
    GHSA-2p25-55c9-h58q tensorflow-gpu URL Logo github.com/advisories/GHSA-2p25-55c9-h58q

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