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) = ...;
}
```

  • CVSS V3 rated as High - 7.1 severity.
  • CVSS V2 rated as Medium - 3.6 severity.
  • Solution
    We have patched the issue in GitHub commit [f410212e373eb2aec4c9e60bf3702eba99a38aba](https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba).

    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 980191

    Software Advisories
    Advisory ID Software Component Link
    GHSA-374m-jm66-3vj8 tensorflow URL Logo github.com/advisories/GHSA-374m-jm66-3vj8
    GHSA-374m-jm66-3vj8 tensorflow-cpu URL Logo github.com/advisories/GHSA-374m-jm66-3vj8
    GHSA-374m-jm66-3vj8 tensorflow-gpu URL Logo github.com/advisories/GHSA-374m-jm66-3vj8

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