chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
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+## TFSA-2021-124: Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord`
+
+### CVE Number
+CVE-2021-37650
+
+### Impact
+The implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and
+`tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation
+fault:
+
+```python
+import tensorflow as tf
+
+dataset = tf.data.Dataset.range(3)
+dataset = tf.data.experimental.to_variant(dataset)
+tf.raw_ops.ExperimentalDatasetToTFRecord(
+  input_dataset=dataset,
+  filename='/tmp/output',
+  compression_type='')
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102)
+assumes that all records in the dataset are of string type. However, there is no
+check for that, and the example given above uses numeric types.
+
+### Patches
+We have patched the issue in GitHub commit
+[e0b6e58c328059829c3eb968136f17aa72b6c876](https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876).
+
+The fix will be included in TensorFlow 2.6.0. We will also cherrypick this
+commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are
+also affected and still in supported range.
+
+### 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 members of the Aivul Team from Qihoo
+360.