CVE-2022-41883
CVE-2022-41883 · Out of bounds segmentation fault due to unequal op inputs in Tensorflow
This page contains facts from public vulnerability sources. Check the original advisory before updating.
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
CVSS 6.8 · Medium · EPSS 0.4% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
tensorflow
- Versions
- >= 2.10.0, < 2.10.1: Affected
No fix published
tensorflow PyPI
- Versions
- 2.10.0
- Affected ranges
- ECOSYSTEM: ≥ 2.10.0, < 2.10.1
Update to 2.10.1
tensorflow-cpu PyPI
- Versions
- 2.10.0
- Affected ranges
- ECOSYSTEM: ≥ 2.10.0, < 2.10.1
Update to 2.10.1
tensorflow-gpu PyPI
- Versions
- 2.10.0
- Affected ranges
- ECOSYSTEM: ≥ 2.10.0, < 2.10.1
Update to 2.10.1
Original sources
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
- https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc
- https://nvd.nist.gov/vuln/detail/CVE-2022-41883