QID 980190
QID 980190: Python (pip) Security Update for tensorflow-gpu (GHSA-7r94-xv9v-63jw)
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's Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164):
```cc
const NodeDef* dequeue_node;
for (const auto& train_node : train_nodes) {
if (IsDequeueOp(*train_node)) {
dequeue_node = train_node;
break;
}
}
if (dequeue_node) {
...
}
```
If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.
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.
- GHSA-7r94-xv9v-63jw -
github.com/advisories/GHSA-7r94-xv9v-63jw
CVEs related to QID 980190
| Advisory ID | Software | Component | Link |
|---|---|---|---|
| GHSA-7r94-xv9v-63jw | tensorflow |
|
|
| GHSA-7r94-xv9v-63jw | tensorflow-cpu |
|
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| GHSA-7r94-xv9v-63jw | tensorflow-gpu |
|