QID 980168

QID 980168: Python (pip) Security Update for tensorflow-gpu (GHSA-xrqm-fpgr-6hhx)

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.

While calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows:

```python
import tensorflow as tf

tf.sparse.eye(num_rows=9223372036854775807, num_columns=None)
```

Similarly, `tf.range` would result in crashes due to overflows if the start or end point are too large.

```python
import tensorflow as tf

tf.range(start=-1e+38, limit=1)
```

  • CVSS V3 rated as Medium - 5.5 severity.
  • CVSS V2 rated as Low - 2.1 severity.
  • Solution
    We have patched the issue in GitHub commits [6d94002a09711d297dbba90390d5482b76113899](https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899) (merging [#51359](https://github.com/tensorflow/tensorflow/pull/51359)) and [1b0e0ec27e7895b9985076eab32445026ae5ca94](https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94) (merging [#51711](https://github.com/tensorflow/tensorflow/pull/51711)).

    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 980168

    Software Advisories
    Advisory ID Software Component Link
    GHSA-xrqm-fpgr-6hhx tensorflow URL Logo github.com/advisories/GHSA-xrqm-fpgr-6hhx
    GHSA-xrqm-fpgr-6hhx tensorflow-cpu URL Logo github.com/advisories/GHSA-xrqm-fpgr-6hhx
    GHSA-xrqm-fpgr-6hhx tensorflow-gpu URL Logo github.com/advisories/GHSA-xrqm-fpgr-6hhx

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