chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
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+## TFSA-2021-125: Heap buffer overflow in `FractionalAvgPoolGrad`
+
+### CVE Number
+CVE-2021-37651
+
+### Impact
+The implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into
+accessing data outside of bounds of heap allocated buffers:
+
+```python
+import tensorflow as tf
+
+tf.raw_ops.FractionalAvgPoolGrad(
+  orig_input_tensor_shape=[0,1,2,3],
+  out_backprop = np.array([[[[541],[541]],[[541],[541]]]]),
+  row_pooling_sequence=[0, 0, 0, 0, 0],
+  col_pooling_sequence=[-2, 0, 0, 2, 0],
+  overlapping=True)
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205)
+does not validate that the input tensor is non-empty. Thus, code constructs an
+empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are
+outside of the empty area.
+
+### Patches
+We have patched the issue in GitHub commit
+[0f931751fb20f565c4e94aa6df58d54a003cdb30](https://github.com/tensorflow/tensorflow/commit/0f931751fb20f565c4e94aa6df58d54a003cdb30).
+
+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.