QID 982451

QID 982451: Python (pip) Security Update for tensorflow (GHSA-rf3h-xgv5-2q39)

Security update has been released for tensorflow 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 of the `DepthwiseConv` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288):

```cc
int num_input_channels = SizeOfDimension(input, 3);
TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0);
```

An attacker can craft a model such that `input`'s fourth dimension would be 0.

CVSS V3 rated as Medium - 5.5 severity.

CVSS V2 rated as Low - 2.1 severity.

Solution

We have patched the issue in GitHub commit [cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0](https://github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0).

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Vendor References

GHSA-rf3h-xgv5-2q39 - github.com/advisories/GHSA-rf3h-xgv5-2q39

CVEs related to QID 982451

CVE-2021-29602 |

Software Advisories

Advisory ID	Software	Component	Link
GHSA-rf3h-xgv5-2q39	tensorflow		github.com/advisories/GHSA-rf3h-xgv5-2q39

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