QID 981476
QID 981476: Python (pip) Security Update for tensorflow-gpu (GHSA-4g9f-63rx-5cw4)
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.
The [`tf.raw_ops.Switch`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Switch) operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor.
However, the eager runtime traverses all tensors in the output:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/common_runtime/eager/kernel_and_device.cc#L308-L313
Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault
We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
- GHSA-4g9f-63rx-5cw4 -
github.com/advisories/GHSA-4g9f-63rx-5cw4
CVEs related to QID 981476
| Advisory ID | Software | Component | Link |
|---|---|---|---|
| GHSA-4g9f-63rx-5cw4 | tensorflow |
|
|
| GHSA-4g9f-63rx-5cw4 | tensorflow-cpu |
|
|
| GHSA-4g9f-63rx-5cw4 | tensorflow-gpu |
|