chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
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+## TFSA-2021-138: Incomplete validation in `QuantizeV2`
+
+### CVE Number
+CVE-2021-37663
+
+### Impact
+Due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger
+undefined behavior via binding a reference to a null pointer or can access data
+outside the bounds of heap allocated arrays:
+
+```python
+import tensorflow as tf
+
+tf.raw_ops.QuantizeV2(
+  input=[1,2,3],
+  min_range=[1,2],
+  max_range=[],
+  T=tf.qint32,
+  mode='SCALED',
+  round_mode='HALF_AWAY_FROM_ZERO',
+  narrow_range=False,
+  axis=1,
+  ensure_minimum_range=3)
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59)
+has some validation but does not check that `min_range` and `max_range` both
+have the same non-zero number of elements. If `axis` is provided (i.e., not
+`-1`), then validation should check that it is a value in range for the rank of
+`input` tensor and then the lengths of `min_range` and `max_range` inputs match
+the `axis` dimension of the `input` tensor.
+
+### Patches
+We have patched the issue in GitHub commit
+[6da6620efad397c85493b8f8667b821403516708](https://github.com/tensorflow/tensorflow/commit/6da6620efad397c85493b8f8667b821403516708).
+
+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.