PT-2026-59810
Publicado
2026-07-09
·
Atualizado
2026-07-09
Descrição por
CVSS 3.1
5.9
MédiaMétricasAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
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.
The fix will be included in TensorFlow 2.8.0. This is the only affected version.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
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