PYSEC-2026-1958
TensorFlow vulnerable to integer overflow in EditDistance
상세
### Impact TFversion 2.11.0 //tensorflow/core/ops/array_ops.cc:1067 const Tensor* hypothesis_shape_t = c->input_tensor(2); std::vector<DimensionHandle> dims(hypothesis_shape_t->NumElements() - 1); for (int i = 0; i < dims.size(); ++i) { dims[i] = c->MakeDim(std::max(h_values(i), t_values(i))); }
if hypothesis_shape_t is empty, hypothesis_shape_t->NumElements() - 1 will be integer overflow, and the it will deadlock ```python import tensorflow as tf para={ 'hypothesis_indices': [[]], 'hypothesis_values': ['tmp/'], 'hypothesis_shape': [], 'truth_indices': [[]], 'truth_values': [''], 'truth_shape': [], 'normalize': False } tf.raw_ops.EditDistance(**para) ```
### Patches We have patched the issue in GitHub commit [08b8e18643d6dcde00890733b270ff8d9960c56c](https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c).
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
### 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.
### Attribution This vulnerability has been reported by r3pwnx
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참고
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7jvm-xxmr-v5cw [WEB]
- https://nvd.nist.gov/vuln/detail/CVE-2023-25662 [ADVISORY]
- https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c [WEB]
- https://github.com/tensorflow/tensorflow [PACKAGE]
- https://pypi.org/project/tensorflow-gpu [PACKAGE]
- https://github.com/advisories/GHSA-7jvm-xxmr-v5cw [ADVISORY]