CVE-2022-23593: Segfault in `simplifyBroadcast` in Tensorflow
First published: Fri Feb 04 2022(Updated: )
### Impact The [`simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205) is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. ```cc size_t maxRank = 0; for (auto shape : llvm::enumerate(shapes)) { auto found_shape = analysis.dimensionsForShapeTensor(shape.value()); if (!found_shape) return {}; shapes_found.push_back(*found_shape); maxRank = std::max(maxRank, found_shape->size()); } SmallVector<const ShapeComponentAnalysis::SymbolicDimension*> joined_dimensions(maxRank); ``` If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. ### Patches We have patched the issue in GitHub commit [35f0fabb4c178253a964d7aabdbb15c6a398b69a](https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a). The fix will be included in TensorFlow 2.8.0. This is the only affected version. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | >=2.7.0<2.8.0 | |
| pip/tensorflow-gpu | =2.8.0-rc0 | 2.8.0 |
| pip/tensorflow-cpu | =2.8.0-rc0 | 2.8.0 |
| pip/tensorflow | =2.8.0-rc0 | 2.8.0 |
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Reference Links
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
- https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- https://nvd.nist.gov/vuln/detail/CVE-2022-23593
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml
- https://github.com/advisories/GHSA-gwcx-jrx4-92w2 (Advisory)
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