PT-2026-59856

تاريخ النشر

2026-07-09

·

تاريخ التحديث

2026-07-09

الوصف من

CVSS 3.1
6.5
متوسطة
المقاييسAV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact

Under certain scenarios, TensorFlow can fail to specialize a type during [shape inference](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape inference.cc#L168-L174):
cc
void InferenceContext::PreInputInit(
  const OpDef& op def, const std::vector<const Tensor*>& input tensors,
  const std::vector<ShapeHandle>& input tensors as shapes) {
 const auto ret = full type::SpecializeType(attrs , op def);
 DCHECK(ret.status().ok()) << "while instantiating types: " << ret.status();
 ret types = ret.ValueOrDie();
 // ... 
}
However, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the ValueOrDie line. This results in an assertion failure as ret contains an error Status, not a value. In the second case we also get a crash due to the assertion failure.

Patches

We have patched the issue in GitHub commit cb164786dc891ea11d3a900e90367c339305dc7b.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
قابلية الاستغلال
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المنتجات المتأثرة
المعرّفات ذات الصلة
PYSEC-2026-3241
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