QID 980191
QID 980191: Python (pip) Security Update for tensorflow-gpu (GHSA-374m-jm66-3vj8)
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 [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/bincount_op.cc#L353-L417) of `SparseBinCount` is vulnerable to a heap OOB:
```python
import tensorflow as tf
tf.raw_ops.SparseBincount(
indices=[[0],[1],[2]]
values=[0,-10000000]
dense_shape=[1,1]
size=[1]
weights=[3,2,1]
binary_output=False)
```
This is because of missing validation between the elements of the `values` argument and the shape of the sparse output:
```cc
for (int64_t i = 0; i < indices_mat.dimension(0); ++i) {
const int64_t batch = indices_mat(i, 0);
const Tidx bin = values(i);
...
out(batch, bin) = ...;
}
```
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-374m-jm66-3vj8 -
github.com/advisories/GHSA-374m-jm66-3vj8
CVEs related to QID 980191
| Advisory ID | Software | Component | Link |
|---|---|---|---|
| GHSA-374m-jm66-3vj8 | tensorflow |
|
|
| GHSA-374m-jm66-3vj8 | tensorflow-cpu |
|
|
| GHSA-374m-jm66-3vj8 | tensorflow-gpu |
|