CVE-2021-37640
CVE-2021-37640 · Integer division by 0 in sparse reshaping in TensorFlow
This page contains facts from public vulnerability sources. Check the original advisory before updating.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.
CVSS 5.5 · Medium · EPSS 0.2% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
tensorflow
- Versions
- < 2.5.1: Affected
No fix published
tensorflow PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- Affected ranges
- ECOSYSTEM: < 2.3.4
Update to 2.3.4
tensorflow PyPI
- Versions
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.3
Update to 2.4.3
tensorflow PyPI
- Versions
- 2.5.0
- Affected ranges
- ECOSYSTEM: ≥ 2.5.0, < 2.5.1
Update to 2.5.1
tensorflow-cpu PyPI
- Versions
- 1.15.0
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- Affected ranges
- ECOSYSTEM: < 2.3.4
Update to 2.3.4
tensorflow-cpu PyPI
- Versions
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.3
Update to 2.4.3
tensorflow-cpu PyPI
- Versions
- 2.5.0
- Affected ranges
- ECOSYSTEM: ≥ 2.5.0, < 2.5.1
Update to 2.5.1
tensorflow-gpu PyPI
- Versions
- 0.12.0
- 0.12.1
- 1.0.0
- 1.0.1
- 1.1.0
- 1.10.0
- 1.10.1
- 1.11.0
- 1.12.0
- 1.12.2
- 1.12.3
- 1.13.1
- 1.13.2
- 1.14.0
- 1.15.0
- 1.15.2
- 1.15.3
- 1.15.4
- 1.15.5
- 1.2.0
- 1.2.1
- 1.3.0
- 1.4.0
- 1.4.1
- 1.5.0
- 1.5.1
- 1.6.0
- 1.7.0
- 1.7.1
- 1.8.0
- 1.9.0
- 2.0.0
- 2.0.1
- 2.0.2
- 2.0.3
- 2.0.4
- 2.1.0
- 2.1.1
- 2.1.2
- 2.1.3
- 2.1.4
- 2.2.0
- 2.2.1
- 2.2.2
- 2.2.3
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- Affected ranges
- ECOSYSTEM: < 2.3.4
Update to 2.3.4
tensorflow-gpu PyPI
- Versions
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- ECOSYSTEM: ≥ 2.4.0, < 2.4.3
Update to 2.4.3
tensorflow-gpu PyPI
- Versions
- 2.5.0
- Affected ranges
- ECOSYSTEM: ≥ 2.5.0, < 2.5.1
Update to 2.5.1
tensorflow PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- GIT: < 4923de56ec94fff7770df259ab7f2288a74feb41
- ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3
Update to 2.3.4; Update to 2.4.3
tensorflow-cpu PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- GIT: < 4923de56ec94fff7770df259ab7f2288a74feb41
- ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3
Update to 2.3.4; Update to 2.4.3
tensorflow-gpu PyPI
- Versions
- 2.3.0
- 2.3.1
- 2.3.2
- 2.3.3
- 2.4.0
- 2.4.1
- 2.4.2
- Affected ranges
- GIT: < 4923de56ec94fff7770df259ab7f2288a74feb41
- ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3
Update to 2.3.4; Update to 2.4.3