CVE-2022-23593
Segfault in `simplifyBroadcast` in Tensorflow
- State
- Published
- Severity
- 5.9 Medium
- Published
- Feb 4, 2022
- Updated
- Apr 22, 2025
- Reserved
- Jan 19, 2022
Description
Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.1 | 5.9 Medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H | GitHub_M |
Weaknesses
- CWE-754 Improper Check for Unusual or Exceptional Conditions
Affected Products
| Product | Versions |
|---|---|
tensorflowtensorflow |
|
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
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