QID 981547

QID 981547: Python (pip) Security Update for tensorflow-gpu (GHSA-r6jx-9g48-2r5r)

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.

TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format.

```python
from tensorflow.keras import models

payload = ''
!!python/object/new:type
args: ['z', !!python/tuple [], {'extend': !!python/name:exec }]
listitems: "__import__('os').system('cat /etc/passwd')"
''

models.model_from_yaml(payload)
```

The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input.

CVSS V3 rated as Critical - 8.8 severity.

CVSS V2 rated as Medium - 4.6 severity.

Solution

Given that YAML format support requires a significant amount of work, we have removed it for now.

We have patched the issue in GitHub commit [23d6383eb6c14084a8fc3bdf164043b974818012](https://github.com/tensorflow/tensorflow/commit/23d6383eb6c14084a8fc3bdf164043b974818012).

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Vendor References

GHSA-r6jx-9g48-2r5r - github.com/advisories/GHSA-r6jx-9g48-2r5r

CVEs related to QID 981547

CVE-2021-37678 |

Software Advisories

Advisory ID	Software	Link
GHSA-r6jx-9g48-2r5r	tensorflow	github.com/advisories/GHSA-r6jx-9g48-2r5r
GHSA-r6jx-9g48-2r5r	tensorflow-cpu	github.com/advisories/GHSA-r6jx-9g48-2r5r
GHSA-r6jx-9g48-2r5r	tensorflow-gpu	github.com/advisories/GHSA-r6jx-9g48-2r5r

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