CVE-2021-37642
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
How to fix
- google tensorflow2.3.4, 2.4.3 or later
- tensorflow2.3.4, 2.4.3, 2.5.1 or later
- tensorflow-cpu2.3.4, 2.4.3, 2.5.1 or later
- tensorflow-gpu2.3.4, 2.4.3, 2.5.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | 2.3.0 ≤ v < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0, 2.6.0 | 2.3.4, 2.4.3 |
| tensorflowPyPI | v < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.4 | 2.3.4, 2.4.3, 2.5.1 |
| tensorflow-cpuPyPI | v < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.4 | 2.3.4, 2.4.3, 2.5.1 |
| tensorflow-gpuPyPI | v < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.4 | 2.3.4, 2.4.3, 2.5.1 |
Check your version
Choose the product and enter the version you run to see whether it falls in the affected range.
Attack Surface Management
See the assets tied to your domains, the technologies they run and known vulnerabilities in one list.