Segfault in `simplifyBroadcast` in Tensorflow
Impact
The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes.
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.
The fix will be included in TensorFlow 2.8.0. This is the only affected version.
For more information
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Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | >= 2.8.0-rc0, < 2.8.0 | 2.8.0 |
| Python (PyPI) | tensorflow-cpu | >= 2.7.0, < 2.8.0 | 2.8.0 |
| Python (PyPI) | tensorflow-gpu | >= 2.7.0, < 2.8.0 | 2.8.0 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- https://nvd.nist.gov/vuln/detail/CVE-2022-23593
- https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a
- 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/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-gwcx-jrx4-92w2
- Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Debilidad (CWE)
CWE-754- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 04.02.2022
- Actualizado
- 11.10.2026 14:18
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2022-102 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2022-157 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-gwcx-jrx4-92w2 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3193 - PyPA Advisory Database; CC BY 4.0
Historial de vulnerabilidades: tensorflow-cpu
Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.
- Entradas en total
- 430
- Primera → última
- 04.2019 07.2024
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 6
- Alta 111
- Media 208
- Baja 105
Divulgaciones por año
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
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Segfault in `simplifyBroadcast` in Tensorflow esta entrada
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