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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Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| 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 |
References
- 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
- CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-754- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 04.02.2022
- Updated
- 11.10.2026 14:18
Sources and licenses
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
Vulnerability history: tensorflow-cpu
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 430
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 111
- Medium 208
- Low 105
Disclosures per year
- 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 this entry
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